Amazon Comprehend 2017-11-27
- Client: Aws\Comprehend\ComprehendClient
- Service ID: comprehend
- Version: 2017-11-27
This page describes the parameters and results for the operations of the Amazon Comprehend (2017-11-27), and shows how to use the Aws\Comprehend\ComprehendClient object to call the described operations. This documentation is specific to the 2017-11-27 API version of the service.
Operation Summary
Each of the following operations can be created from a client using
$client->getCommand('CommandName')
, where "CommandName" is the
name of one of the following operations. Note: a command is a value that
encapsulates an operation and the parameters used to create an HTTP request.
You can also create and send a command immediately using the magic methods
available on a client object: $client->commandName(/* parameters */)
.
You can send the command asynchronously (returning a promise) by appending the
word "Async" to the operation name: $client->commandNameAsync(/* parameters */)
.
- BatchDetectDominantLanguage ( array $params = [] )
- Determines the dominant language of the input text for a batch of documents.
- BatchDetectEntities ( array $params = [] )
- Inspects the text of a batch of documents for named entities and returns information about them.
- BatchDetectKeyPhrases ( array $params = [] )
- Detects the key noun phrases found in a batch of documents.
- BatchDetectSentiment ( array $params = [] )
- Inspects a batch of documents and returns an inference of the prevailing sentiment, POSITIVE, NEUTRAL, MIXED, or NEGATIVE, in each one.
- BatchDetectSyntax ( array $params = [] )
- Inspects the text of a batch of documents for the syntax and part of speech of the words in the document and returns information about them.
- BatchDetectTargetedSentiment ( array $params = [] )
- Inspects a batch of documents and returns a sentiment analysis for each entity identified in the documents.
- ClassifyDocument ( array $params = [] )
- Creates a classification request to analyze a single document in real-time.
- ContainsPiiEntities ( array $params = [] )
- Analyzes input text for the presence of personally identifiable information (PII) and returns the labels of identified PII entity types such as name, address, bank account number, or phone number.
- CreateDataset ( array $params = [] )
- Creates a dataset to upload training or test data for a model associated with a flywheel.
- CreateDocumentClassifier ( array $params = [] )
- Creates a new document classifier that you can use to categorize documents.
- CreateEndpoint ( array $params = [] )
- Creates a model-specific endpoint for synchronous inference for a previously trained custom model For information about endpoints, see Managing endpoints.
- CreateEntityRecognizer ( array $params = [] )
- Creates an entity recognizer using submitted files.
- CreateFlywheel ( array $params = [] )
- A flywheel is an Amazon Web Services resource that orchestrates the ongoing training of a model for custom classification or custom entity recognition.
- DeleteDocumentClassifier ( array $params = [] )
- Deletes a previously created document classifier Only those classifiers that are in terminated states (IN_ERROR, TRAINED) will be deleted.
- DeleteEndpoint ( array $params = [] )
- Deletes a model-specific endpoint for a previously-trained custom model.
- DeleteEntityRecognizer ( array $params = [] )
- Deletes an entity recognizer.
- DeleteFlywheel ( array $params = [] )
- Deletes a flywheel.
- DeleteResourcePolicy ( array $params = [] )
- Deletes a resource-based policy that is attached to a custom model.
- DescribeDataset ( array $params = [] )
- Returns information about the dataset that you specify.
- DescribeDocumentClassificationJob ( array $params = [] )
- Gets the properties associated with a document classification job.
- DescribeDocumentClassifier ( array $params = [] )
- Gets the properties associated with a document classifier.
- DescribeDominantLanguageDetectionJob ( array $params = [] )
- Gets the properties associated with a dominant language detection job.
- DescribeEndpoint ( array $params = [] )
- Gets the properties associated with a specific endpoint.
- DescribeEntitiesDetectionJob ( array $params = [] )
- Gets the properties associated with an entities detection job.
- DescribeEntityRecognizer ( array $params = [] )
- Provides details about an entity recognizer including status, S3 buckets containing training data, recognizer metadata, metrics, and so on.
- DescribeEventsDetectionJob ( array $params = [] )
- Gets the status and details of an events detection job.
- DescribeFlywheel ( array $params = [] )
- Provides configuration information about the flywheel.
- DescribeFlywheelIteration ( array $params = [] )
- Retrieve the configuration properties of a flywheel iteration.
- DescribeKeyPhrasesDetectionJob ( array $params = [] )
- Gets the properties associated with a key phrases detection job.
- DescribePiiEntitiesDetectionJob ( array $params = [] )
- Gets the properties associated with a PII entities detection job.
- DescribeResourcePolicy ( array $params = [] )
- Gets the details of a resource-based policy that is attached to a custom model, including the JSON body of the policy.
- DescribeSentimentDetectionJob ( array $params = [] )
- Gets the properties associated with a sentiment detection job.
- DescribeTargetedSentimentDetectionJob ( array $params = [] )
- Gets the properties associated with a targeted sentiment detection job.
- DescribeTopicsDetectionJob ( array $params = [] )
- Gets the properties associated with a topic detection job.
- DetectDominantLanguage ( array $params = [] )
- Determines the dominant language of the input text.
- DetectEntities ( array $params = [] )
- Detects named entities in input text when you use the pre-trained model.
- DetectKeyPhrases ( array $params = [] )
- Detects the key noun phrases found in the text.
- DetectPiiEntities ( array $params = [] )
- Inspects the input text for entities that contain personally identifiable information (PII) and returns information about them.
- DetectSentiment ( array $params = [] )
- Inspects text and returns an inference of the prevailing sentiment (POSITIVE, NEUTRAL, MIXED, or NEGATIVE).
- DetectSyntax ( array $params = [] )
- Inspects text for syntax and the part of speech of words in the document.
- DetectTargetedSentiment ( array $params = [] )
- Inspects the input text and returns a sentiment analysis for each entity identified in the text.
- DetectToxicContent ( array $params = [] )
- Performs toxicity analysis on the list of text strings that you provide as input.
- ImportModel ( array $params = [] )
- Creates a new custom model that replicates a source custom model that you import.
- ListDatasets ( array $params = [] )
- List the datasets that you have configured in this Region.
- ListDocumentClassificationJobs ( array $params = [] )
- Gets a list of the documentation classification jobs that you have submitted.
- ListDocumentClassifierSummaries ( array $params = [] )
- Gets a list of summaries of the document classifiers that you have created
- ListDocumentClassifiers ( array $params = [] )
- Gets a list of the document classifiers that you have created.
- ListDominantLanguageDetectionJobs ( array $params = [] )
- Gets a list of the dominant language detection jobs that you have submitted.
- ListEndpoints ( array $params = [] )
- Gets a list of all existing endpoints that you've created.
- ListEntitiesDetectionJobs ( array $params = [] )
- Gets a list of the entity detection jobs that you have submitted.
- ListEntityRecognizerSummaries ( array $params = [] )
- Gets a list of summaries for the entity recognizers that you have created.
- ListEntityRecognizers ( array $params = [] )
- Gets a list of the properties of all entity recognizers that you created, including recognizers currently in training.
- ListEventsDetectionJobs ( array $params = [] )
- Gets a list of the events detection jobs that you have submitted.
- ListFlywheelIterationHistory ( array $params = [] )
- Information about the history of a flywheel iteration.
- ListFlywheels ( array $params = [] )
- Gets a list of the flywheels that you have created.
- ListKeyPhrasesDetectionJobs ( array $params = [] )
- Get a list of key phrase detection jobs that you have submitted.
- ListPiiEntitiesDetectionJobs ( array $params = [] )
- Gets a list of the PII entity detection jobs that you have submitted.
- ListSentimentDetectionJobs ( array $params = [] )
- Gets a list of sentiment detection jobs that you have submitted.
- ListTagsForResource ( array $params = [] )
- Lists all tags associated with a given Amazon Comprehend resource.
- ListTargetedSentimentDetectionJobs ( array $params = [] )
- Gets a list of targeted sentiment detection jobs that you have submitted.
- ListTopicsDetectionJobs ( array $params = [] )
- Gets a list of the topic detection jobs that you have submitted.
- PutResourcePolicy ( array $params = [] )
- Attaches a resource-based policy to a custom model.
- StartDocumentClassificationJob ( array $params = [] )
- Starts an asynchronous document classification job using a custom classification model.
- StartDominantLanguageDetectionJob ( array $params = [] )
- Starts an asynchronous dominant language detection job for a collection of documents.
- StartEntitiesDetectionJob ( array $params = [] )
- Starts an asynchronous entity detection job for a collection of documents.
- StartEventsDetectionJob ( array $params = [] )
- Starts an asynchronous event detection job for a collection of documents.
- StartFlywheelIteration ( array $params = [] )
- Start the flywheel iteration.
- StartKeyPhrasesDetectionJob ( array $params = [] )
- Starts an asynchronous key phrase detection job for a collection of documents.
- StartPiiEntitiesDetectionJob ( array $params = [] )
- Starts an asynchronous PII entity detection job for a collection of documents.
- StartSentimentDetectionJob ( array $params = [] )
- Starts an asynchronous sentiment detection job for a collection of documents.
- StartTargetedSentimentDetectionJob ( array $params = [] )
- Starts an asynchronous targeted sentiment detection job for a collection of documents.
- StartTopicsDetectionJob ( array $params = [] )
- Starts an asynchronous topic detection job.
- StopDominantLanguageDetectionJob ( array $params = [] )
- Stops a dominant language detection job in progress.
- StopEntitiesDetectionJob ( array $params = [] )
- Stops an entities detection job in progress.
- StopEventsDetectionJob ( array $params = [] )
- Stops an events detection job in progress.
- StopKeyPhrasesDetectionJob ( array $params = [] )
- Stops a key phrases detection job in progress.
- StopPiiEntitiesDetectionJob ( array $params = [] )
- Stops a PII entities detection job in progress.
- StopSentimentDetectionJob ( array $params = [] )
- Stops a sentiment detection job in progress.
- StopTargetedSentimentDetectionJob ( array $params = [] )
- Stops a targeted sentiment detection job in progress.
- StopTrainingDocumentClassifier ( array $params = [] )
- Stops a document classifier training job while in progress.
- StopTrainingEntityRecognizer ( array $params = [] )
- Stops an entity recognizer training job while in progress.
- TagResource ( array $params = [] )
- Associates a specific tag with an Amazon Comprehend resource.
- UntagResource ( array $params = [] )
- Removes a specific tag associated with an Amazon Comprehend resource.
- UpdateEndpoint ( array $params = [] )
- Updates information about the specified endpoint.
- UpdateFlywheel ( array $params = [] )
- Update the configuration information for an existing flywheel.
Paginators
Paginators handle automatically iterating over paginated API results. Paginators are associated with specific API operations, and they accept the parameters that the corresponding API operation accepts. You can get a paginator from a client class using getPaginator($paginatorName, $operationParameters). This client supports the following paginators:
- ListDatasets
- ListDocumentClassificationJobs
- ListDocumentClassifierSummaries
- ListDocumentClassifiers
- ListDominantLanguageDetectionJobs
- ListEndpoints
- ListEntitiesDetectionJobs
- ListEntityRecognizerSummaries
- ListEntityRecognizers
- ListEventsDetectionJobs
- ListFlywheelIterationHistory
- ListFlywheels
- ListKeyPhrasesDetectionJobs
- ListPiiEntitiesDetectionJobs
- ListSentimentDetectionJobs
- ListTargetedSentimentDetectionJobs
- ListTopicsDetectionJobs
Operations
BatchDetectDominantLanguage
$result = $client->batchDetectDominantLanguage
([/* ... */]); $promise = $client->batchDetectDominantLanguageAsync
([/* ... */]);
Determines the dominant language of the input text for a batch of documents. For a list of languages that Amazon Comprehend can detect, see Amazon Comprehend Supported Languages.
Parameter Syntax
$result = $client->batchDetectDominantLanguage([ 'TextList' => ['<string>', ...], // REQUIRED ]);
Parameter Details
Members
- TextList
-
- Required: Yes
- Type: Array of strings
A list containing the UTF-8 encoded text of the input documents. The list can contain a maximum of 25 documents. Each document should contain at least 20 characters. The maximum size of each document is 5 KB.
Result Syntax
[ 'ErrorList' => [ [ 'ErrorCode' => '<string>', 'ErrorMessage' => '<string>', 'Index' => <integer>, ], // ... ], 'ResultList' => [ [ 'Index' => <integer>, 'Languages' => [ [ 'LanguageCode' => '<string>', 'Score' => <float>, ], // ... ], ], // ... ], ]
Result Details
Members
- ErrorList
-
- Required: Yes
- Type: Array of BatchItemError structures
A list containing one object for each document that contained an error. The results are sorted in ascending order by the
Index
field and match the order of the documents in the input list. If there are no errors in the batch, theErrorList
is empty. - ResultList
-
- Required: Yes
- Type: Array of BatchDetectDominantLanguageItemResult structures
A list of objects containing the results of the operation. The results are sorted in ascending order by the
Index
field and match the order of the documents in the input list. If all of the documents contain an error, theResultList
is empty.
Errors
- InvalidRequestException:
The request is invalid.
- TextSizeLimitExceededException:
The size of the input text exceeds the limit. Use a smaller document.
- BatchSizeLimitExceededException:
The number of documents in the request exceeds the limit of 25. Try your request again with fewer documents.
- InternalServerException:
An internal server error occurred. Retry your request.
BatchDetectEntities
$result = $client->batchDetectEntities
([/* ... */]); $promise = $client->batchDetectEntitiesAsync
([/* ... */]);
Inspects the text of a batch of documents for named entities and returns information about them. For more information about named entities, see Entities in the Comprehend Developer Guide.
Parameter Syntax
$result = $client->batchDetectEntities([ 'LanguageCode' => 'en|es|fr|de|it|pt|ar|hi|ja|ko|zh|zh-TW', // REQUIRED 'TextList' => ['<string>', ...], // REQUIRED ]);
Parameter Details
Members
- LanguageCode
-
- Required: Yes
- Type: string
The language of the input documents. You can specify any of the primary languages supported by Amazon Comprehend. All documents must be in the same language.
- TextList
-
- Required: Yes
- Type: Array of strings
A list containing the UTF-8 encoded text of the input documents. The list can contain a maximum of 25 documents. The maximum size of each document is 5 KB.
Result Syntax
[ 'ErrorList' => [ [ 'ErrorCode' => '<string>', 'ErrorMessage' => '<string>', 'Index' => <integer>, ], // ... ], 'ResultList' => [ [ 'Entities' => [ [ 'BeginOffset' => <integer>, 'BlockReferences' => [ [ 'BeginOffset' => <integer>, 'BlockId' => '<string>', 'ChildBlocks' => [ [ 'BeginOffset' => <integer>, 'ChildBlockId' => '<string>', 'EndOffset' => <integer>, ], // ... ], 'EndOffset' => <integer>, ], // ... ], 'EndOffset' => <integer>, 'Score' => <float>, 'Text' => '<string>', 'Type' => 'PERSON|LOCATION|ORGANIZATION|COMMERCIAL_ITEM|EVENT|DATE|QUANTITY|TITLE|OTHER', ], // ... ], 'Index' => <integer>, ], // ... ], ]
Result Details
Members
- ErrorList
-
- Required: Yes
- Type: Array of BatchItemError structures
A list containing one object for each document that contained an error. The results are sorted in ascending order by the
Index
field and match the order of the documents in the input list. If there are no errors in the batch, theErrorList
is empty. - ResultList
-
- Required: Yes
- Type: Array of BatchDetectEntitiesItemResult structures
A list of objects containing the results of the operation. The results are sorted in ascending order by the
Index
field and match the order of the documents in the input list. If all of the documents contain an error, theResultList
is empty.
Errors
- InvalidRequestException:
The request is invalid.
- TextSizeLimitExceededException:
The size of the input text exceeds the limit. Use a smaller document.
- UnsupportedLanguageException:
Amazon Comprehend can't process the language of the input text. For a list of supported languages, Supported languages in the Comprehend Developer Guide.
- BatchSizeLimitExceededException:
The number of documents in the request exceeds the limit of 25. Try your request again with fewer documents.
- InternalServerException:
An internal server error occurred. Retry your request.
BatchDetectKeyPhrases
$result = $client->batchDetectKeyPhrases
([/* ... */]); $promise = $client->batchDetectKeyPhrasesAsync
([/* ... */]);
Detects the key noun phrases found in a batch of documents.
Parameter Syntax
$result = $client->batchDetectKeyPhrases([ 'LanguageCode' => 'en|es|fr|de|it|pt|ar|hi|ja|ko|zh|zh-TW', // REQUIRED 'TextList' => ['<string>', ...], // REQUIRED ]);
Parameter Details
Members
- LanguageCode
-
- Required: Yes
- Type: string
The language of the input documents. You can specify any of the primary languages supported by Amazon Comprehend. All documents must be in the same language.
- TextList
-
- Required: Yes
- Type: Array of strings
A list containing the UTF-8 encoded text of the input documents. The list can contain a maximum of 25 documents. The maximum size of each document is 5 KB.
Result Syntax
[ 'ErrorList' => [ [ 'ErrorCode' => '<string>', 'ErrorMessage' => '<string>', 'Index' => <integer>, ], // ... ], 'ResultList' => [ [ 'Index' => <integer>, 'KeyPhrases' => [ [ 'BeginOffset' => <integer>, 'EndOffset' => <integer>, 'Score' => <float>, 'Text' => '<string>', ], // ... ], ], // ... ], ]
Result Details
Members
- ErrorList
-
- Required: Yes
- Type: Array of BatchItemError structures
A list containing one object for each document that contained an error. The results are sorted in ascending order by the
Index
field and match the order of the documents in the input list. If there are no errors in the batch, theErrorList
is empty. - ResultList
-
- Required: Yes
- Type: Array of BatchDetectKeyPhrasesItemResult structures
A list of objects containing the results of the operation. The results are sorted in ascending order by the
Index
field and match the order of the documents in the input list. If all of the documents contain an error, theResultList
is empty.
Errors
- InvalidRequestException:
The request is invalid.
- TextSizeLimitExceededException:
The size of the input text exceeds the limit. Use a smaller document.
- UnsupportedLanguageException:
Amazon Comprehend can't process the language of the input text. For a list of supported languages, Supported languages in the Comprehend Developer Guide.
- BatchSizeLimitExceededException:
The number of documents in the request exceeds the limit of 25. Try your request again with fewer documents.
- InternalServerException:
An internal server error occurred. Retry your request.
BatchDetectSentiment
$result = $client->batchDetectSentiment
([/* ... */]); $promise = $client->batchDetectSentimentAsync
([/* ... */]);
Inspects a batch of documents and returns an inference of the prevailing sentiment, POSITIVE
, NEUTRAL
, MIXED
, or NEGATIVE
, in each one.
Parameter Syntax
$result = $client->batchDetectSentiment([ 'LanguageCode' => 'en|es|fr|de|it|pt|ar|hi|ja|ko|zh|zh-TW', // REQUIRED 'TextList' => ['<string>', ...], // REQUIRED ]);
Parameter Details
Members
- LanguageCode
-
- Required: Yes
- Type: string
The language of the input documents. You can specify any of the primary languages supported by Amazon Comprehend. All documents must be in the same language.
- TextList
-
- Required: Yes
- Type: Array of strings
A list containing the UTF-8 encoded text of the input documents. The list can contain a maximum of 25 documents. The maximum size of each document is 5 KB.
Result Syntax
[ 'ErrorList' => [ [ 'ErrorCode' => '<string>', 'ErrorMessage' => '<string>', 'Index' => <integer>, ], // ... ], 'ResultList' => [ [ 'Index' => <integer>, 'Sentiment' => 'POSITIVE|NEGATIVE|NEUTRAL|MIXED', 'SentimentScore' => [ 'Mixed' => <float>, 'Negative' => <float>, 'Neutral' => <float>, 'Positive' => <float>, ], ], // ... ], ]
Result Details
Members
- ErrorList
-
- Required: Yes
- Type: Array of BatchItemError structures
A list containing one object for each document that contained an error. The results are sorted in ascending order by the
Index
field and match the order of the documents in the input list. If there are no errors in the batch, theErrorList
is empty. - ResultList
-
- Required: Yes
- Type: Array of BatchDetectSentimentItemResult structures
A list of objects containing the results of the operation. The results are sorted in ascending order by the
Index
field and match the order of the documents in the input list. If all of the documents contain an error, theResultList
is empty.
Errors
- InvalidRequestException:
The request is invalid.
- TextSizeLimitExceededException:
The size of the input text exceeds the limit. Use a smaller document.
- UnsupportedLanguageException:
Amazon Comprehend can't process the language of the input text. For a list of supported languages, Supported languages in the Comprehend Developer Guide.
- BatchSizeLimitExceededException:
The number of documents in the request exceeds the limit of 25. Try your request again with fewer documents.
- InternalServerException:
An internal server error occurred. Retry your request.
BatchDetectSyntax
$result = $client->batchDetectSyntax
([/* ... */]); $promise = $client->batchDetectSyntaxAsync
([/* ... */]);
Inspects the text of a batch of documents for the syntax and part of speech of the words in the document and returns information about them. For more information, see Syntax in the Comprehend Developer Guide.
Parameter Syntax
$result = $client->batchDetectSyntax([ 'LanguageCode' => 'en|es|fr|de|it|pt', // REQUIRED 'TextList' => ['<string>', ...], // REQUIRED ]);
Parameter Details
Members
- LanguageCode
-
- Required: Yes
- Type: string
The language of the input documents. You can specify any of the following languages supported by Amazon Comprehend: German ("de"), English ("en"), Spanish ("es"), French ("fr"), Italian ("it"), or Portuguese ("pt"). All documents must be in the same language.
- TextList
-
- Required: Yes
- Type: Array of strings
A list containing the UTF-8 encoded text of the input documents. The list can contain a maximum of 25 documents. The maximum size for each document is 5 KB.
Result Syntax
[ 'ErrorList' => [ [ 'ErrorCode' => '<string>', 'ErrorMessage' => '<string>', 'Index' => <integer>, ], // ... ], 'ResultList' => [ [ 'Index' => <integer>, 'SyntaxTokens' => [ [ 'BeginOffset' => <integer>, 'EndOffset' => <integer>, 'PartOfSpeech' => [ 'Score' => <float>, 'Tag' => 'ADJ|ADP|ADV|AUX|CONJ|CCONJ|DET|INTJ|NOUN|NUM|O|PART|PRON|PROPN|PUNCT|SCONJ|SYM|VERB', ], 'Text' => '<string>', 'TokenId' => <integer>, ], // ... ], ], // ... ], ]
Result Details
Members
- ErrorList
-
- Required: Yes
- Type: Array of BatchItemError structures
A list containing one object for each document that contained an error. The results are sorted in ascending order by the
Index
field and match the order of the documents in the input list. If there are no errors in the batch, theErrorList
is empty. - ResultList
-
- Required: Yes
- Type: Array of BatchDetectSyntaxItemResult structures
A list of objects containing the results of the operation. The results are sorted in ascending order by the
Index
field and match the order of the documents in the input list. If all of the documents contain an error, theResultList
is empty.
Errors
- InvalidRequestException:
The request is invalid.
- TextSizeLimitExceededException:
The size of the input text exceeds the limit. Use a smaller document.
- UnsupportedLanguageException:
Amazon Comprehend can't process the language of the input text. For a list of supported languages, Supported languages in the Comprehend Developer Guide.
- BatchSizeLimitExceededException:
The number of documents in the request exceeds the limit of 25. Try your request again with fewer documents.
- InternalServerException:
An internal server error occurred. Retry your request.
BatchDetectTargetedSentiment
$result = $client->batchDetectTargetedSentiment
([/* ... */]); $promise = $client->batchDetectTargetedSentimentAsync
([/* ... */]);
Inspects a batch of documents and returns a sentiment analysis for each entity identified in the documents.
For more information about targeted sentiment, see Targeted sentiment in the Amazon Comprehend Developer Guide.
Parameter Syntax
$result = $client->batchDetectTargetedSentiment([ 'LanguageCode' => 'en|es|fr|de|it|pt|ar|hi|ja|ko|zh|zh-TW', // REQUIRED 'TextList' => ['<string>', ...], // REQUIRED ]);
Parameter Details
Members
- LanguageCode
-
- Required: Yes
- Type: string
The language of the input documents. Currently, English is the only supported language.
- TextList
-
- Required: Yes
- Type: Array of strings
A list containing the UTF-8 encoded text of the input documents. The list can contain a maximum of 25 documents. The maximum size of each document is 5 KB.
Result Syntax
[ 'ErrorList' => [ [ 'ErrorCode' => '<string>', 'ErrorMessage' => '<string>', 'Index' => <integer>, ], // ... ], 'ResultList' => [ [ 'Entities' => [ [ 'DescriptiveMentionIndex' => [<integer>, ...], 'Mentions' => [ [ 'BeginOffset' => <integer>, 'EndOffset' => <integer>, 'GroupScore' => <float>, 'MentionSentiment' => [ 'Sentiment' => 'POSITIVE|NEGATIVE|NEUTRAL|MIXED', 'SentimentScore' => [ 'Mixed' => <float>, 'Negative' => <float>, 'Neutral' => <float>, 'Positive' => <float>, ], ], 'Score' => <float>, 'Text' => '<string>', 'Type' => 'PERSON|LOCATION|ORGANIZATION|FACILITY|BRAND|COMMERCIAL_ITEM|MOVIE|MUSIC|BOOK|SOFTWARE|GAME|PERSONAL_TITLE|EVENT|DATE|QUANTITY|ATTRIBUTE|OTHER', ], // ... ], ], // ... ], 'Index' => <integer>, ], // ... ], ]
Result Details
Members
- ErrorList
-
- Required: Yes
- Type: Array of BatchItemError structures
List of errors that the operation can return.
- ResultList
-
- Required: Yes
- Type: Array of BatchDetectTargetedSentimentItemResult structures
A list of objects containing the results of the operation. The results are sorted in ascending order by the
Index
field and match the order of the documents in the input list. If all of the documents contain an error, theResultList
is empty.
Errors
- InvalidRequestException:
The request is invalid.
- TextSizeLimitExceededException:
The size of the input text exceeds the limit. Use a smaller document.
- UnsupportedLanguageException:
Amazon Comprehend can't process the language of the input text. For a list of supported languages, Supported languages in the Comprehend Developer Guide.
- BatchSizeLimitExceededException:
The number of documents in the request exceeds the limit of 25. Try your request again with fewer documents.
- InternalServerException:
An internal server error occurred. Retry your request.
ClassifyDocument
$result = $client->classifyDocument
([/* ... */]); $promise = $client->classifyDocumentAsync
([/* ... */]);
Creates a classification request to analyze a single document in real-time. ClassifyDocument
supports the following model types:
-
Custom classifier - a custom model that you have created and trained. For input, you can provide plain text, a single-page document (PDF, Word, or image), or Amazon Textract API output. For more information, see Custom classification in the Amazon Comprehend Developer Guide.
-
Prompt safety classifier - Amazon Comprehend provides a pre-trained model for classifying input prompts for generative AI applications. For input, you provide English plain text input. For prompt safety classification, the response includes only the
Classes
field. For more information about prompt safety classifiers, see Prompt safety classification in the Amazon Comprehend Developer Guide.
If the system detects errors while processing a page in the input document, the API response includes an Errors
field that describes the errors.
If the system detects a document-level error in your input document, the API returns an InvalidRequestException
error response. For details about this exception, see Errors in semi-structured documents in the Comprehend Developer Guide.
Parameter Syntax
$result = $client->classifyDocument([ 'Bytes' => <string || resource || Psr\Http\Message\StreamInterface>, 'DocumentReaderConfig' => [ 'DocumentReadAction' => 'TEXTRACT_DETECT_DOCUMENT_TEXT|TEXTRACT_ANALYZE_DOCUMENT', // REQUIRED 'DocumentReadMode' => 'SERVICE_DEFAULT|FORCE_DOCUMENT_READ_ACTION', 'FeatureTypes' => ['<string>', ...], ], 'EndpointArn' => '<string>', // REQUIRED 'Text' => '<string>', ]);
Parameter Details
Members
- Bytes
-
- Type: blob (string|resource|Psr\Http\Message\StreamInterface)
Use the
Bytes
parameter to input a text, PDF, Word or image file.When you classify a document using a custom model, you can also use the
Bytes
parameter to input an Amazon TextractDetectDocumentText
orAnalyzeDocument
output file.To classify a document using the prompt safety classifier, use the
Text
parameter for input.Provide the input document as a sequence of base64-encoded bytes. If your code uses an Amazon Web Services SDK to classify documents, the SDK may encode the document file bytes for you.
The maximum length of this field depends on the input document type. For details, see Inputs for real-time custom analysis in the Comprehend Developer Guide.
If you use the
Bytes
parameter, do not use theText
parameter. - DocumentReaderConfig
-
- Type: DocumentReaderConfig structure
Provides configuration parameters to override the default actions for extracting text from PDF documents and image files.
- EndpointArn
-
- Required: Yes
- Type: string
The Amazon Resource Number (ARN) of the endpoint.
For prompt safety classification, Amazon Comprehend provides the endpoint ARN. For more information about prompt safety classifiers, see Prompt safety classification in the Amazon Comprehend Developer Guide
For custom classification, you create an endpoint for your custom model. For more information, see Using Amazon Comprehend endpoints.
- Text
-
- Type: string
The document text to be analyzed. If you enter text using this parameter, do not use the
Bytes
parameter.
Result Syntax
[ 'Classes' => [ [ 'Name' => '<string>', 'Page' => <integer>, 'Score' => <float>, ], // ... ], 'DocumentMetadata' => [ 'ExtractedCharacters' => [ [ 'Count' => <integer>, 'Page' => <integer>, ], // ... ], 'Pages' => <integer>, ], 'DocumentType' => [ [ 'Page' => <integer>, 'Type' => 'NATIVE_PDF|SCANNED_PDF|MS_WORD|IMAGE|PLAIN_TEXT|TEXTRACT_DETECT_DOCUMENT_TEXT_JSON|TEXTRACT_ANALYZE_DOCUMENT_JSON', ], // ... ], 'Errors' => [ [ 'ErrorCode' => 'TEXTRACT_BAD_PAGE|TEXTRACT_PROVISIONED_THROUGHPUT_EXCEEDED|PAGE_CHARACTERS_EXCEEDED|PAGE_SIZE_EXCEEDED|INTERNAL_SERVER_ERROR', 'ErrorMessage' => '<string>', 'Page' => <integer>, ], // ... ], 'Labels' => [ [ 'Name' => '<string>', 'Page' => <integer>, 'Score' => <float>, ], // ... ], 'Warnings' => [ [ 'Page' => <integer>, 'WarnCode' => 'INFERENCING_PLAINTEXT_WITH_NATIVE_TRAINED_MODEL|INFERENCING_NATIVE_DOCUMENT_WITH_PLAINTEXT_TRAINED_MODEL', 'WarnMessage' => '<string>', ], // ... ], ]
Result Details
Members
- Classes
-
- Type: Array of DocumentClass structures
The classes used by the document being analyzed. These are used for models trained in multi-class mode. Individual classes are mutually exclusive and each document is expected to have only a single class assigned to it. For example, an animal can be a dog or a cat, but not both at the same time.
For prompt safety classification, the response includes only two classes (SAFE_PROMPT and UNSAFE_PROMPT), along with a confidence score for each class. The value range of the score is zero to one, where one is the highest confidence.
- DocumentMetadata
-
- Type: DocumentMetadata structure
Extraction information about the document. This field is present in the response only if your request includes the
Byte
parameter. - DocumentType
-
- Type: Array of DocumentTypeListItem structures
The document type for each page in the input document. This field is present in the response only if your request includes the
Byte
parameter. - Errors
-
- Type: Array of ErrorsListItem structures
Page-level errors that the system detected while processing the input document. The field is empty if the system encountered no errors.
- Labels
-
- Type: Array of DocumentLabel structures
The labels used in the document being analyzed. These are used for multi-label trained models. Individual labels represent different categories that are related in some manner and are not mutually exclusive. For example, a movie can be just an action movie, or it can be an action movie, a science fiction movie, and a comedy, all at the same time.
- Warnings
-
- Type: Array of WarningsListItem structures
Warnings detected while processing the input document. The response includes a warning if there is a mismatch between the input document type and the model type associated with the endpoint that you specified. The response can also include warnings for individual pages that have a mismatch.
The field is empty if the system generated no warnings.
Errors
- InvalidRequestException:
The request is invalid.
- ResourceUnavailableException:
The specified resource is not available. Check the resource and try your request again.
- TextSizeLimitExceededException:
The size of the input text exceeds the limit. Use a smaller document.
- InternalServerException:
An internal server error occurred. Retry your request.
ContainsPiiEntities
$result = $client->containsPiiEntities
([/* ... */]); $promise = $client->containsPiiEntitiesAsync
([/* ... */]);
Analyzes input text for the presence of personally identifiable information (PII) and returns the labels of identified PII entity types such as name, address, bank account number, or phone number.
Parameter Syntax
$result = $client->containsPiiEntities([ 'LanguageCode' => 'en|es|fr|de|it|pt|ar|hi|ja|ko|zh|zh-TW', // REQUIRED 'Text' => '<string>', // REQUIRED ]);
Parameter Details
Members
- LanguageCode
-
- Required: Yes
- Type: string
The language of the input documents.
- Text
-
- Required: Yes
- Type: string
A UTF-8 text string. The maximum string size is 100 KB.
Result Syntax
[ 'Labels' => [ [ 'Name' => 'BANK_ACCOUNT_NUMBER|BANK_ROUTING|CREDIT_DEBIT_NUMBER|CREDIT_DEBIT_CVV|CREDIT_DEBIT_EXPIRY|PIN|EMAIL|ADDRESS|NAME|PHONE|SSN|DATE_TIME|PASSPORT_NUMBER|DRIVER_ID|URL|AGE|USERNAME|PASSWORD|AWS_ACCESS_KEY|AWS_SECRET_KEY|IP_ADDRESS|MAC_ADDRESS|ALL|LICENSE_PLATE|VEHICLE_IDENTIFICATION_NUMBER|UK_NATIONAL_INSURANCE_NUMBER|CA_SOCIAL_INSURANCE_NUMBER|US_INDIVIDUAL_TAX_IDENTIFICATION_NUMBER|UK_UNIQUE_TAXPAYER_REFERENCE_NUMBER|IN_PERMANENT_ACCOUNT_NUMBER|IN_NREGA|INTERNATIONAL_BANK_ACCOUNT_NUMBER|SWIFT_CODE|UK_NATIONAL_HEALTH_SERVICE_NUMBER|CA_HEALTH_NUMBER|IN_AADHAAR|IN_VOTER_NUMBER', 'Score' => <float>, ], // ... ], ]
Result Details
Members
- Labels
-
- Type: Array of EntityLabel structures
The labels used in the document being analyzed. Individual labels represent personally identifiable information (PII) entity types.
Errors
- InvalidRequestException:
The request is invalid.
- TextSizeLimitExceededException:
The size of the input text exceeds the limit. Use a smaller document.
- UnsupportedLanguageException:
Amazon Comprehend can't process the language of the input text. For a list of supported languages, Supported languages in the Comprehend Developer Guide.
- InternalServerException:
An internal server error occurred. Retry your request.
CreateDataset
$result = $client->createDataset
([/* ... */]); $promise = $client->createDatasetAsync
([/* ... */]);
Creates a dataset to upload training or test data for a model associated with a flywheel. For more information about datasets, see Flywheel overview in the Amazon Comprehend Developer Guide.
Parameter Syntax
$result = $client->createDataset([ 'ClientRequestToken' => '<string>', 'DatasetName' => '<string>', // REQUIRED 'DatasetType' => 'TRAIN|TEST', 'Description' => '<string>', 'FlywheelArn' => '<string>', // REQUIRED 'InputDataConfig' => [ // REQUIRED 'AugmentedManifests' => [ [ 'AnnotationDataS3Uri' => '<string>', 'AttributeNames' => ['<string>', ...], // REQUIRED 'DocumentType' => 'PLAIN_TEXT_DOCUMENT|SEMI_STRUCTURED_DOCUMENT', 'S3Uri' => '<string>', // REQUIRED 'SourceDocumentsS3Uri' => '<string>', ], // ... ], 'DataFormat' => 'COMPREHEND_CSV|AUGMENTED_MANIFEST', 'DocumentClassifierInputDataConfig' => [ 'LabelDelimiter' => '<string>', 'S3Uri' => '<string>', // REQUIRED ], 'EntityRecognizerInputDataConfig' => [ 'Annotations' => [ 'S3Uri' => '<string>', // REQUIRED ], 'Documents' => [ // REQUIRED 'InputFormat' => 'ONE_DOC_PER_FILE|ONE_DOC_PER_LINE', 'S3Uri' => '<string>', // REQUIRED ], 'EntityList' => [ 'S3Uri' => '<string>', // REQUIRED ], ], ], 'Tags' => [ [ 'Key' => '<string>', // REQUIRED 'Value' => '<string>', ], // ... ], ]);
Parameter Details
Members
- ClientRequestToken
-
- Type: string
A unique identifier for the request. If you don't set the client request token, Amazon Comprehend generates one.
- DatasetName
-
- Required: Yes
- Type: string
Name of the dataset.
- DatasetType
-
- Type: string
The dataset type. You can specify that the data in a dataset is for training the model or for testing the model.
- Description
-
- Type: string
Description of the dataset.
- FlywheelArn
-
- Required: Yes
- Type: string
The Amazon Resource Number (ARN) of the flywheel of the flywheel to receive the data.
- InputDataConfig
-
- Required: Yes
- Type: DatasetInputDataConfig structure
Information about the input data configuration. The type of input data varies based on the format of the input and whether the data is for a classifier model or an entity recognition model.
- Tags
-
- Type: Array of Tag structures
Tags for the dataset.
Result Syntax
[ 'DatasetArn' => '<string>', ]
Result Details
Members
- DatasetArn
-
- Type: string
The ARN of the dataset.
Errors
- InvalidRequestException:
The request is invalid.
- ResourceInUseException:
The specified resource name is already in use. Use a different name and try your request again.
- TooManyTagsException:
The request contains more tags than can be associated with a resource (50 tags per resource). The maximum number of tags includes both existing tags and those included in your current request.
- TooManyRequestsException:
The number of requests exceeds the limit. Resubmit your request later.
- ResourceLimitExceededException:
The maximum number of resources per account has been exceeded. Review the resources, and then try your request again.
- ResourceNotFoundException:
The specified resource ARN was not found. Check the ARN and try your request again.
- InternalServerException:
An internal server error occurred. Retry your request.
CreateDocumentClassifier
$result = $client->createDocumentClassifier
([/* ... */]); $promise = $client->createDocumentClassifierAsync
([/* ... */]);
Creates a new document classifier that you can use to categorize documents. To create a classifier, you provide a set of training documents that are labeled with the categories that you want to use. For more information, see Training classifier models in the Comprehend Developer Guide.
Parameter Syntax
$result = $client->createDocumentClassifier([ 'ClientRequestToken' => '<string>', 'DataAccessRoleArn' => '<string>', // REQUIRED 'DocumentClassifierName' => '<string>', // REQUIRED 'InputDataConfig' => [ // REQUIRED 'AugmentedManifests' => [ [ 'AnnotationDataS3Uri' => '<string>', 'AttributeNames' => ['<string>', ...], // REQUIRED 'DocumentType' => 'PLAIN_TEXT_DOCUMENT|SEMI_STRUCTURED_DOCUMENT', 'S3Uri' => '<string>', // REQUIRED 'SourceDocumentsS3Uri' => '<string>', 'Split' => 'TRAIN|TEST', ], // ... ], 'DataFormat' => 'COMPREHEND_CSV|AUGMENTED_MANIFEST', 'DocumentReaderConfig' => [ 'DocumentReadAction' => 'TEXTRACT_DETECT_DOCUMENT_TEXT|TEXTRACT_ANALYZE_DOCUMENT', // REQUIRED 'DocumentReadMode' => 'SERVICE_DEFAULT|FORCE_DOCUMENT_READ_ACTION', 'FeatureTypes' => ['<string>', ...], ], 'DocumentType' => 'PLAIN_TEXT_DOCUMENT|SEMI_STRUCTURED_DOCUMENT', 'Documents' => [ 'S3Uri' => '<string>', // REQUIRED 'TestS3Uri' => '<string>', ], 'LabelDelimiter' => '<string>', 'S3Uri' => '<string>', 'TestS3Uri' => '<string>', ], 'LanguageCode' => 'en|es|fr|de|it|pt|ar|hi|ja|ko|zh|zh-TW', // REQUIRED 'Mode' => 'MULTI_CLASS|MULTI_LABEL', 'ModelKmsKeyId' => '<string>', 'ModelPolicy' => '<string>', 'OutputDataConfig' => [ 'FlywheelStatsS3Prefix' => '<string>', 'KmsKeyId' => '<string>', 'S3Uri' => '<string>', ], 'Tags' => [ [ 'Key' => '<string>', // REQUIRED 'Value' => '<string>', ], // ... ], 'VersionName' => '<string>', 'VolumeKmsKeyId' => '<string>', 'VpcConfig' => [ 'SecurityGroupIds' => ['<string>', ...], // REQUIRED 'Subnets' => ['<string>', ...], // REQUIRED ], ]);
Parameter Details
Members
- ClientRequestToken
-
- Type: string
A unique identifier for the request. If you don't set the client request token, Amazon Comprehend generates one.
- DataAccessRoleArn
-
- Required: Yes
- Type: string
The Amazon Resource Name (ARN) of the IAM role that grants Amazon Comprehend read access to your input data.
- DocumentClassifierName
-
- Required: Yes
- Type: string
The name of the document classifier.
- InputDataConfig
-
- Required: Yes
- Type: DocumentClassifierInputDataConfig structure
Specifies the format and location of the input data for the job.
- LanguageCode
-
- Required: Yes
- Type: string
The language of the input documents. You can specify any of the languages supported by Amazon Comprehend. All documents must be in the same language.
- Mode
-
- Type: string
Indicates the mode in which the classifier will be trained. The classifier can be trained in multi-class (single-label) mode or multi-label mode. Multi-class mode identifies a single class label for each document and multi-label mode identifies one or more class labels for each document. Multiple labels for an individual document are separated by a delimiter. The default delimiter between labels is a pipe (|).
- ModelKmsKeyId
-
- Type: string
ID for the KMS key that Amazon Comprehend uses to encrypt trained custom models. The ModelKmsKeyId can be either of the following formats:
-
KMS Key ID:
"1234abcd-12ab-34cd-56ef-1234567890ab"
-
Amazon Resource Name (ARN) of a KMS Key:
"arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab"
- ModelPolicy
-
- Type: string
The resource-based policy to attach to your custom document classifier model. You can use this policy to allow another Amazon Web Services account to import your custom model.
Provide your policy as a JSON body that you enter as a UTF-8 encoded string without line breaks. To provide valid JSON, enclose the attribute names and values in double quotes. If the JSON body is also enclosed in double quotes, then you must escape the double quotes that are inside the policy:
"{\"attribute\": \"value\", \"attribute\": [\"value\"]}"
To avoid escaping quotes, you can use single quotes to enclose the policy and double quotes to enclose the JSON names and values:
'{"attribute": "value", "attribute": ["value"]}'
- OutputDataConfig
-
- Type: DocumentClassifierOutputDataConfig structure
Specifies the location for the output files from a custom classifier job. This parameter is required for a request that creates a native document model.
- Tags
-
- Type: Array of Tag structures
Tags to associate with the document classifier. A tag is a key-value pair that adds as a metadata to a resource used by Amazon Comprehend. For example, a tag with "Sales" as the key might be added to a resource to indicate its use by the sales department.
- VersionName
-
- Type: string
The version name given to the newly created classifier. Version names can have a maximum of 256 characters. Alphanumeric characters, hyphens (-) and underscores (_) are allowed. The version name must be unique among all models with the same classifier name in the Amazon Web Services account/Amazon Web Services Region.
- VolumeKmsKeyId
-
- Type: string
ID for the Amazon Web Services Key Management Service (KMS) key that Amazon Comprehend uses to encrypt data on the storage volume attached to the ML compute instance(s) that process the analysis job. The VolumeKmsKeyId can be either of the following formats:
-
KMS Key ID:
"1234abcd-12ab-34cd-56ef-1234567890ab"
-
Amazon Resource Name (ARN) of a KMS Key:
"arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab"
- VpcConfig
-
- Type: VpcConfig structure
Configuration parameters for an optional private Virtual Private Cloud (VPC) containing the resources you are using for your custom classifier. For more information, see Amazon VPC.
Result Syntax
[ 'DocumentClassifierArn' => '<string>', ]
Result Details
Members
- DocumentClassifierArn
-
- Type: string
The Amazon Resource Name (ARN) that identifies the document classifier.
Errors
- InvalidRequestException:
The request is invalid.
- ResourceInUseException:
The specified resource name is already in use. Use a different name and try your request again.
- TooManyTagsException:
The request contains more tags than can be associated with a resource (50 tags per resource). The maximum number of tags includes both existing tags and those included in your current request.
- TooManyRequestsException:
The number of requests exceeds the limit. Resubmit your request later.
- ResourceLimitExceededException:
The maximum number of resources per account has been exceeded. Review the resources, and then try your request again.
- UnsupportedLanguageException:
Amazon Comprehend can't process the language of the input text. For a list of supported languages, Supported languages in the Comprehend Developer Guide.
- KmsKeyValidationException:
The KMS customer managed key (CMK) entered cannot be validated. Verify the key and re-enter it.
- InternalServerException:
An internal server error occurred. Retry your request.
CreateEndpoint
$result = $client->createEndpoint
([/* ... */]); $promise = $client->createEndpointAsync
([/* ... */]);
Creates a model-specific endpoint for synchronous inference for a previously trained custom model For information about endpoints, see Managing endpoints.
Parameter Syntax
$result = $client->createEndpoint([ 'ClientRequestToken' => '<string>', 'DataAccessRoleArn' => '<string>', 'DesiredInferenceUnits' => <integer>, // REQUIRED 'EndpointName' => '<string>', // REQUIRED 'FlywheelArn' => '<string>', 'ModelArn' => '<string>', 'Tags' => [ [ 'Key' => '<string>', // REQUIRED 'Value' => '<string>', ], // ... ], ]);
Parameter Details
Members
- ClientRequestToken
-
- Type: string
An idempotency token provided by the customer. If this token matches a previous endpoint creation request, Amazon Comprehend will not return a
ResourceInUseException
. - DataAccessRoleArn
-
- Type: string
The Amazon Resource Name (ARN) of the IAM role that grants Amazon Comprehend read access to trained custom models encrypted with a customer managed key (ModelKmsKeyId).
- DesiredInferenceUnits
-
- Required: Yes
- Type: int
The desired number of inference units to be used by the model using this endpoint. Each inference unit represents of a throughput of 100 characters per second.
- EndpointName
-
- Required: Yes
- Type: string
This is the descriptive suffix that becomes part of the
EndpointArn
used for all subsequent requests to this resource. - FlywheelArn
-
- Type: string
The Amazon Resource Number (ARN) of the flywheel to which the endpoint will be attached.
- ModelArn
-
- Type: string
The Amazon Resource Number (ARN) of the model to which the endpoint will be attached.
- Tags
-
- Type: Array of Tag structures
Tags to associate with the endpoint. A tag is a key-value pair that adds metadata to the endpoint. For example, a tag with "Sales" as the key might be added to an endpoint to indicate its use by the sales department.
Result Syntax
[ 'EndpointArn' => '<string>', 'ModelArn' => '<string>', ]
Result Details
Members
- EndpointArn
-
- Type: string
The Amazon Resource Number (ARN) of the endpoint being created.
- ModelArn
-
- Type: string
The Amazon Resource Number (ARN) of the model to which the endpoint is attached.
Errors
- InvalidRequestException:
The request is invalid.
- ResourceInUseException:
The specified resource name is already in use. Use a different name and try your request again.
- ResourceLimitExceededException:
The maximum number of resources per account has been exceeded. Review the resources, and then try your request again.
- ResourceNotFoundException:
The specified resource ARN was not found. Check the ARN and try your request again.
- ResourceUnavailableException:
The specified resource is not available. Check the resource and try your request again.
- TooManyRequestsException:
The number of requests exceeds the limit. Resubmit your request later.
- TooManyTagsException:
The request contains more tags than can be associated with a resource (50 tags per resource). The maximum number of tags includes both existing tags and those included in your current request.
- InternalServerException:
An internal server error occurred. Retry your request.
CreateEntityRecognizer
$result = $client->createEntityRecognizer
([/* ... */]); $promise = $client->createEntityRecognizerAsync
([/* ... */]);
Creates an entity recognizer using submitted files. After your CreateEntityRecognizer
request is submitted, you can check job status using the DescribeEntityRecognizer
API.
Parameter Syntax
$result = $client->createEntityRecognizer([ 'ClientRequestToken' => '<string>', 'DataAccessRoleArn' => '<string>', // REQUIRED 'InputDataConfig' => [ // REQUIRED 'Annotations' => [ 'S3Uri' => '<string>', // REQUIRED 'TestS3Uri' => '<string>', ], 'AugmentedManifests' => [ [ 'AnnotationDataS3Uri' => '<string>', 'AttributeNames' => ['<string>', ...], // REQUIRED 'DocumentType' => 'PLAIN_TEXT_DOCUMENT|SEMI_STRUCTURED_DOCUMENT', 'S3Uri' => '<string>', // REQUIRED 'SourceDocumentsS3Uri' => '<string>', 'Split' => 'TRAIN|TEST', ], // ... ], 'DataFormat' => 'COMPREHEND_CSV|AUGMENTED_MANIFEST', 'Documents' => [ 'InputFormat' => 'ONE_DOC_PER_FILE|ONE_DOC_PER_LINE', 'S3Uri' => '<string>', // REQUIRED 'TestS3Uri' => '<string>', ], 'EntityList' => [ 'S3Uri' => '<string>', // REQUIRED ], 'EntityTypes' => [ // REQUIRED [ 'Type' => '<string>', // REQUIRED ], // ... ], ], 'LanguageCode' => 'en|es|fr|de|it|pt|ar|hi|ja|ko|zh|zh-TW', // REQUIRED 'ModelKmsKeyId' => '<string>', 'ModelPolicy' => '<string>', 'RecognizerName' => '<string>', // REQUIRED 'Tags' => [ [ 'Key' => '<string>', // REQUIRED 'Value' => '<string>', ], // ... ], 'VersionName' => '<string>', 'VolumeKmsKeyId' => '<string>', 'VpcConfig' => [ 'SecurityGroupIds' => ['<string>', ...], // REQUIRED 'Subnets' => ['<string>', ...], // REQUIRED ], ]);
Parameter Details
Members
- ClientRequestToken
-
- Type: string
A unique identifier for the request. If you don't set the client request token, Amazon Comprehend generates one.
- DataAccessRoleArn
-
- Required: Yes
- Type: string
The Amazon Resource Name (ARN) of the IAM role that grants Amazon Comprehend read access to your input data.
- InputDataConfig
-
- Required: Yes
- Type: EntityRecognizerInputDataConfig structure
Specifies the format and location of the input data. The S3 bucket containing the input data must be located in the same Region as the entity recognizer being created.
- LanguageCode
-
- Required: Yes
- Type: string
You can specify any of the following languages: English ("en"), Spanish ("es"), French ("fr"), Italian ("it"), German ("de"), or Portuguese ("pt"). If you plan to use this entity recognizer with PDF, Word, or image input files, you must specify English as the language. All training documents must be in the same language.
- ModelKmsKeyId
-
- Type: string
ID for the KMS key that Amazon Comprehend uses to encrypt trained custom models. The ModelKmsKeyId can be either of the following formats:
-
KMS Key ID:
"1234abcd-12ab-34cd-56ef-1234567890ab"
-
Amazon Resource Name (ARN) of a KMS Key:
"arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab"
- ModelPolicy
-
- Type: string
The JSON resource-based policy to attach to your custom entity recognizer model. You can use this policy to allow another Amazon Web Services account to import your custom model.
Provide your JSON as a UTF-8 encoded string without line breaks. To provide valid JSON for your policy, enclose the attribute names and values in double quotes. If the JSON body is also enclosed in double quotes, then you must escape the double quotes that are inside the policy:
"{\"attribute\": \"value\", \"attribute\": [\"value\"]}"
To avoid escaping quotes, you can use single quotes to enclose the policy and double quotes to enclose the JSON names and values:
'{"attribute": "value", "attribute": ["value"]}'
- RecognizerName
-
- Required: Yes
- Type: string
The name given to the newly created recognizer. Recognizer names can be a maximum of 256 characters. Alphanumeric characters, hyphens (-) and underscores (_) are allowed. The name must be unique in the account/Region.
- Tags
-
- Type: Array of Tag structures
Tags to associate with the entity recognizer. A tag is a key-value pair that adds as a metadata to a resource used by Amazon Comprehend. For example, a tag with "Sales" as the key might be added to a resource to indicate its use by the sales department.
- VersionName
-
- Type: string
The version name given to the newly created recognizer. Version names can be a maximum of 256 characters. Alphanumeric characters, hyphens (-) and underscores (_) are allowed. The version name must be unique among all models with the same recognizer name in the account/Region.
- VolumeKmsKeyId
-
- Type: string
ID for the Amazon Web Services Key Management Service (KMS) key that Amazon Comprehend uses to encrypt data on the storage volume attached to the ML compute instance(s) that process the analysis job. The VolumeKmsKeyId can be either of the following formats:
-
KMS Key ID:
"1234abcd-12ab-34cd-56ef-1234567890ab"
-
Amazon Resource Name (ARN) of a KMS Key:
"arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab"
- VpcConfig
-
- Type: VpcConfig structure
Configuration parameters for an optional private Virtual Private Cloud (VPC) containing the resources you are using for your custom entity recognizer. For more information, see Amazon VPC.
Result Syntax
[ 'EntityRecognizerArn' => '<string>', ]
Result Details
Members
- EntityRecognizerArn
-
- Type: string
The Amazon Resource Name (ARN) that identifies the entity recognizer.
Errors
- InvalidRequestException:
The request is invalid.
- ResourceInUseException:
The specified resource name is already in use. Use a different name and try your request again.
- TooManyTagsException:
The request contains more tags than can be associated with a resource (50 tags per resource). The maximum number of tags includes both existing tags and those included in your current request.
- TooManyRequestsException:
The number of requests exceeds the limit. Resubmit your request later.
- ResourceLimitExceededException:
The maximum number of resources per account has been exceeded. Review the resources, and then try your request again.
- UnsupportedLanguageException:
Amazon Comprehend can't process the language of the input text. For a list of supported languages, Supported languages in the Comprehend Developer Guide.
- KmsKeyValidationException:
The KMS customer managed key (CMK) entered cannot be validated. Verify the key and re-enter it.
- InternalServerException:
An internal server error occurred. Retry your request.
CreateFlywheel
$result = $client->createFlywheel
([/* ... */]); $promise = $client->createFlywheelAsync
([/* ... */]);
A flywheel is an Amazon Web Services resource that orchestrates the ongoing training of a model for custom classification or custom entity recognition. You can create a flywheel to start with an existing trained model, or Comprehend can create and train a new model.
When you create the flywheel, Comprehend creates a data lake in your account. The data lake holds the training data and test data for all versions of the model.
To use a flywheel with an existing trained model, you specify the active model version. Comprehend copies the model's training data and test data into the flywheel's data lake.
To use the flywheel with a new model, you need to provide a dataset for training data (and optional test data) when you create the flywheel.
For more information about flywheels, see Flywheel overview in the Amazon Comprehend Developer Guide.
Parameter Syntax
$result = $client->createFlywheel([ 'ActiveModelArn' => '<string>', 'ClientRequestToken' => '<string>', 'DataAccessRoleArn' => '<string>', // REQUIRED 'DataLakeS3Uri' => '<string>', // REQUIRED 'DataSecurityConfig' => [ 'DataLakeKmsKeyId' => '<string>', 'ModelKmsKeyId' => '<string>', 'VolumeKmsKeyId' => '<string>', 'VpcConfig' => [ 'SecurityGroupIds' => ['<string>', ...], // REQUIRED 'Subnets' => ['<string>', ...], // REQUIRED ], ], 'FlywheelName' => '<string>', // REQUIRED 'ModelType' => 'DOCUMENT_CLASSIFIER|ENTITY_RECOGNIZER', 'Tags' => [ [ 'Key' => '<string>', // REQUIRED 'Value' => '<string>', ], // ... ], 'TaskConfig' => [ 'DocumentClassificationConfig' => [ 'Labels' => ['<string>', ...], 'Mode' => 'MULTI_CLASS|MULTI_LABEL', // REQUIRED ], 'EntityRecognitionConfig' => [ 'EntityTypes' => [ // REQUIRED [ 'Type' => '<string>', // REQUIRED ], // ... ], ], 'LanguageCode' => 'en|es|fr|de|it|pt|ar|hi|ja|ko|zh|zh-TW', // REQUIRED ], ]);
Parameter Details
Members
- ActiveModelArn
-
- Type: string
To associate an existing model with the flywheel, specify the Amazon Resource Number (ARN) of the model version. Do not set
TaskConfig
orModelType
if you specify anActiveModelArn
. - ClientRequestToken
-
- Type: string
A unique identifier for the request. If you don't set the client request token, Amazon Comprehend generates one.
- DataAccessRoleArn
-
- Required: Yes
- Type: string
The Amazon Resource Name (ARN) of the IAM role that grants Amazon Comprehend the permissions required to access the flywheel data in the data lake.
- DataLakeS3Uri
-
- Required: Yes
- Type: string
Enter the S3 location for the data lake. You can specify a new S3 bucket or a new folder of an existing S3 bucket. The flywheel creates the data lake at this location.
- DataSecurityConfig
-
- Type: DataSecurityConfig structure
Data security configurations.
- FlywheelName
-
- Required: Yes
- Type: string
Name for the flywheel.
- ModelType
-
- Type: string
The model type. You need to set
ModelType
if you are creating a flywheel for a new model. - Tags
-
- Type: Array of Tag structures
The tags to associate with this flywheel.
- TaskConfig
-
- Type: TaskConfig structure
Configuration about the model associated with the flywheel. You need to set
TaskConfig
if you are creating a flywheel for a new model.
Result Syntax
[ 'ActiveModelArn' => '<string>', 'FlywheelArn' => '<string>', ]
Result Details
Members
- ActiveModelArn
-
- Type: string
The Amazon Resource Number (ARN) of the active model version.
- FlywheelArn
-
- Type: string
The Amazon Resource Number (ARN) of the flywheel.
Errors
- InvalidRequestException:
The request is invalid.
- ResourceInUseException:
The specified resource name is already in use. Use a different name and try your request again.
- TooManyTagsException:
The request contains more tags than can be associated with a resource (50 tags per resource). The maximum number of tags includes both existing tags and those included in your current request.
- TooManyRequestsException:
The number of requests exceeds the limit. Resubmit your request later.
- ResourceLimitExceededException:
The maximum number of resources per account has been exceeded. Review the resources, and then try your request again.
- UnsupportedLanguageException:
Amazon Comprehend can't process the language of the input text. For a list of supported languages, Supported languages in the Comprehend Developer Guide.
- KmsKeyValidationException:
The KMS customer managed key (CMK) entered cannot be validated. Verify the key and re-enter it.
- ResourceNotFoundException:
The specified resource ARN was not found. Check the ARN and try your request again.
- ResourceUnavailableException:
The specified resource is not available. Check the resource and try your request again.
- InternalServerException:
An internal server error occurred. Retry your request.
DeleteDocumentClassifier
$result = $client->deleteDocumentClassifier
([/* ... */]); $promise = $client->deleteDocumentClassifierAsync
([/* ... */]);
Deletes a previously created document classifier
Only those classifiers that are in terminated states (IN_ERROR, TRAINED) will be deleted. If an active inference job is using the model, a ResourceInUseException
will be returned.
This is an asynchronous action that puts the classifier into a DELETING state, and it is then removed by a background job. Once removed, the classifier disappears from your account and is no longer available for use.
Parameter Syntax
$result = $client->deleteDocumentClassifier([ 'DocumentClassifierArn' => '<string>', // REQUIRED ]);
Parameter Details
Members
- DocumentClassifierArn
-
- Required: Yes
- Type: string
The Amazon Resource Name (ARN) that identifies the document classifier.
Result Syntax
[]
Result Details
Errors
- InvalidRequestException:
The request is invalid.
- TooManyRequestsException:
The number of requests exceeds the limit. Resubmit your request later.
- ResourceNotFoundException:
The specified resource ARN was not found. Check the ARN and try your request again.
- ResourceUnavailableException:
The specified resource is not available. Check the resource and try your request again.
- ResourceInUseException:
The specified resource name is already in use. Use a different name and try your request again.
- InternalServerException:
An internal server error occurred. Retry your request.
DeleteEndpoint
$result = $client->deleteEndpoint
([/* ... */]); $promise = $client->deleteEndpointAsync
([/* ... */]);
Deletes a model-specific endpoint for a previously-trained custom model. All endpoints must be deleted in order for the model to be deleted. For information about endpoints, see Managing endpoints.
Parameter Syntax
$result = $client->deleteEndpoint([ 'EndpointArn' => '<string>', // REQUIRED ]);
Parameter Details
Members
- EndpointArn
-
- Required: Yes
- Type: string
The Amazon Resource Number (ARN) of the endpoint being deleted.
Result Syntax
[]
Result Details
Errors
- InvalidRequestException:
The request is invalid.
- ResourceInUseException:
The specified resource name is already in use. Use a different name and try your request again.
- ResourceNotFoundException:
The specified resource ARN was not found. Check the ARN and try your request again.
- TooManyRequestsException:
The number of requests exceeds the limit. Resubmit your request later.
- InternalServerException:
An internal server error occurred. Retry your request.
DeleteEntityRecognizer
$result = $client->deleteEntityRecognizer
([/* ... */]); $promise = $client->deleteEntityRecognizerAsync
([/* ... */]);
Deletes an entity recognizer.
Only those recognizers that are in terminated states (IN_ERROR, TRAINED) will be deleted. If an active inference job is using the model, a ResourceInUseException
will be returned.
This is an asynchronous action that puts the recognizer into a DELETING state, and it is then removed by a background job. Once removed, the recognizer disappears from your account and is no longer available for use.
Parameter Syntax
$result = $client->deleteEntityRecognizer([ 'EntityRecognizerArn' => '<string>', // REQUIRED ]);
Parameter Details
Members
- EntityRecognizerArn
-
- Required: Yes
- Type: string
The Amazon Resource Name (ARN) that identifies the entity recognizer.
Result Syntax
[]
Result Details
Errors
- InvalidRequestException:
The request is invalid.
- TooManyRequestsException:
The number of requests exceeds the limit. Resubmit your request later.
- ResourceNotFoundException:
The specified resource ARN was not found. Check the ARN and try your request again.
- ResourceUnavailableException:
The specified resource is not available. Check the resource and try your request again.
- ResourceInUseException:
The specified resource name is already in use. Use a different name and try your request again.
- InternalServerException:
An internal server error occurred. Retry your request.
DeleteFlywheel
$result = $client->deleteFlywheel
([/* ... */]); $promise = $client->deleteFlywheelAsync
([/* ... */]);
Deletes a flywheel. When you delete the flywheel, Amazon Comprehend does not delete the data lake or the model associated with the flywheel.
For more information about flywheels, see Flywheel overview in the Amazon Comprehend Developer Guide.
Parameter Syntax
$result = $client->deleteFlywheel([ 'FlywheelArn' => '<string>', // REQUIRED ]);
Parameter Details
Members
- FlywheelArn
-
- Required: Yes
- Type: string
The Amazon Resource Number (ARN) of the flywheel to delete.
Result Syntax
[]
Result Details
Errors
- InvalidRequestException:
The request is invalid.
- TooManyRequestsException:
The number of requests exceeds the limit. Resubmit your request later.
- ResourceNotFoundException:
The specified resource ARN was not found. Check the ARN and try your request again.
- ResourceUnavailableException:
The specified resource is not available. Check the resource and try your request again.
- ResourceInUseException:
The specified resource name is already in use. Use a different name and try your request again.
- InternalServerException:
An internal server error occurred. Retry your request.
DeleteResourcePolicy
$result = $client->deleteResourcePolicy
([/* ... */]); $promise = $client->deleteResourcePolicyAsync
([/* ... */]);
Deletes a resource-based policy that is attached to a custom model.
Parameter Syntax
$result = $client->deleteResourcePolicy([ 'PolicyRevisionId' => '<string>', 'ResourceArn' => '<string>', // REQUIRED ]);
Parameter Details
Members
- PolicyRevisionId
-
- Type: string
The revision ID of the policy to delete.
- ResourceArn
-
- Required: Yes
- Type: string
The Amazon Resource Name (ARN) of the custom model version that has the policy to delete.
Result Syntax
[]
Result Details
Errors
- InvalidRequestException:
The request is invalid.
- ResourceNotFoundException:
The specified resource ARN was not found. Check the ARN and try your request again.
- InternalServerException:
An internal server error occurred. Retry your request.
DescribeDataset
$result = $client->describeDataset
([/* ... */]); $promise = $client->describeDatasetAsync
([/* ... */]);
Returns information about the dataset that you specify. For more information about datasets, see Flywheel overview in the Amazon Comprehend Developer Guide.
Parameter Syntax
$result = $client->describeDataset([ 'DatasetArn' => '<string>', // REQUIRED ]);
Parameter Details
Members
- DatasetArn
-
- Required: Yes
- Type: string
The ARN of the dataset.
Result Syntax
[ 'DatasetProperties' => [ 'CreationTime' => <DateTime>, 'DatasetArn' => '<string>', 'DatasetName' => '<string>', 'DatasetS3Uri' => '<string>', 'DatasetType' => 'TRAIN|TEST', 'Description' => '<string>', 'EndTime' => <DateTime>, 'Message' => '<string>', 'NumberOfDocuments' => <integer>, 'Status' => 'CREATING|COMPLETED|FAILED', ], ]
Result Details
Members
- DatasetProperties
-
- Type: DatasetProperties structure
The dataset properties.
Errors
- InvalidRequestException:
The request is invalid.
- TooManyRequestsException:
The number of requests exceeds the limit. Resubmit your request later.
- ResourceNotFoundException:
The specified resource ARN was not found. Check the ARN and try your request again.
- InternalServerException:
An internal server error occurred. Retry your request.
DescribeDocumentClassificationJob
$result = $client->describeDocumentClassificationJob
([/* ... */]); $promise = $client->describeDocumentClassificationJobAsync
([/* ... */]);
Gets the properties associated with a document classification job. Use this operation to get the status of a classification job.
Parameter Syntax
$result = $client->describeDocumentClassificationJob([ 'JobId' => '<string>', // REQUIRED ]);
Parameter Details
Members
- JobId
-
- Required: Yes
- Type: string
The identifier that Amazon Comprehend generated for the job. The
StartDocumentClassificationJob
operation returns this identifier in its response.
Result Syntax
[ 'DocumentClassificationJobProperties' => [ 'DataAccessRoleArn' => '<string>', 'DocumentClassifierArn' => '<string>', 'EndTime' => <DateTime>, 'FlywheelArn' => '<string>', 'InputDataConfig' => [ 'DocumentReaderConfig' => [ 'DocumentReadAction' => 'TEXTRACT_DETECT_DOCUMENT_TEXT|TEXTRACT_ANALYZE_DOCUMENT', 'DocumentReadMode' => 'SERVICE_DEFAULT|FORCE_DOCUMENT_READ_ACTION', 'FeatureTypes' => ['<string>', ...], ], 'InputFormat' => 'ONE_DOC_PER_FILE|ONE_DOC_PER_LINE', 'S3Uri' => '<string>', ], 'JobArn' => '<string>', 'JobId' => '<string>', 'JobName' => '<string>', 'JobStatus' => 'SUBMITTED|IN_PROGRESS|COMPLETED|FAILED|STOP_REQUESTED|STOPPED', 'Message' => '<string>', 'OutputDataConfig' => [ 'KmsKeyId' => '<string>', 'S3Uri' => '<string>', ], 'SubmitTime' => <DateTime>, 'VolumeKmsKeyId' => '<string>', 'VpcConfig' => [ 'SecurityGroupIds' => ['<string>', ...], 'Subnets' => ['<string>', ...], ], ], ]
Result Details
Members
- DocumentClassificationJobProperties
-
- Type: DocumentClassificationJobProperties structure
An object that describes the properties associated with the document classification job.
Errors
- InvalidRequestException:
The request is invalid.
- TooManyRequestsException:
The number of requests exceeds the limit. Resubmit your request later.
- JobNotFoundException:
The specified job was not found. Check the job ID and try again.
- InternalServerException:
An internal server error occurred. Retry your request.
DescribeDocumentClassifier
$result = $client->describeDocumentClassifier
([/* ... */]); $promise = $client->describeDocumentClassifierAsync
([/* ... */]);
Gets the properties associated with a document classifier.
Parameter Syntax
$result = $client->describeDocumentClassifier([ 'DocumentClassifierArn' => '<string>', // REQUIRED ]);
Parameter Details
Members
- DocumentClassifierArn
-
- Required: Yes
- Type: string
The Amazon Resource Name (ARN) that identifies the document classifier. The
CreateDocumentClassifier
operation returns this identifier in its response.
Result Syntax
[ 'DocumentClassifierProperties' => [ 'ClassifierMetadata' => [ 'EvaluationMetrics' => [ 'Accuracy' => <float>, 'F1Score' => <float>, 'HammingLoss' => <float>, 'MicroF1Score' => <float>, 'MicroPrecision' => <float>, 'MicroRecall' => <float>, 'Precision' => <float>, 'Recall' => <float>, ], 'NumberOfLabels' => <integer>, 'NumberOfTestDocuments' => <integer>, 'NumberOfTrainedDocuments' => <integer>, ], 'DataAccessRoleArn' => '<string>', 'DocumentClassifierArn' => '<string>', 'EndTime' => <DateTime>, 'FlywheelArn' => '<string>', 'InputDataConfig' => [ 'AugmentedManifests' => [ [ 'AnnotationDataS3Uri' => '<string>', 'AttributeNames' => ['<string>', ...], 'DocumentType' => 'PLAIN_TEXT_DOCUMENT|SEMI_STRUCTURED_DOCUMENT', 'S3Uri' => '<string>', 'SourceDocumentsS3Uri' => '<string>', 'Split' => 'TRAIN|TEST', ], // ... ], 'DataFormat' => 'COMPREHEND_CSV|AUGMENTED_MANIFEST', 'DocumentReaderConfig' => [ 'DocumentReadAction' => 'TEXTRACT_DETECT_DOCUMENT_TEXT|TEXTRACT_ANALYZE_DOCUMENT', 'DocumentReadMode' => 'SERVICE_DEFAULT|FORCE_DOCUMENT_READ_ACTION', 'FeatureTypes' => ['<string>', ...], ], 'DocumentType' => 'PLAIN_TEXT_DOCUMENT|SEMI_STRUCTURED_DOCUMENT', 'Documents' => [ 'S3Uri' => '<string>', 'TestS3Uri' => '<string>', ], 'LabelDelimiter' => '<string>', 'S3Uri' => '<string>', 'TestS3Uri' => '<string>', ], 'LanguageCode' => 'en|es|fr|de|it|pt|ar|hi|ja|ko|zh|zh-TW', 'Message' => '<string>', 'Mode' => 'MULTI_CLASS|MULTI_LABEL', 'ModelKmsKeyId' => '<string>', 'OutputDataConfig' => [ 'FlywheelStatsS3Prefix' => '<string>', 'KmsKeyId' => '<string>', 'S3Uri' => '<string>', ], 'SourceModelArn' => '<string>', 'Status' => 'SUBMITTED|TRAINING|DELETING|STOP_REQUESTED|STOPPED|IN_ERROR|TRAINED|TRAINED_WITH_WARNING', 'SubmitTime' => <DateTime>, 'TrainingEndTime' => <DateTime>, 'TrainingStartTime' => <DateTime>, 'VersionName' => '<string>', 'VolumeKmsKeyId' => '<string>', 'VpcConfig' => [ 'SecurityGroupIds' => ['<string>', ...], 'Subnets' => ['<string>', ...], ], ], ]
Result Details
Members
- DocumentClassifierProperties
-
- Type: DocumentClassifierProperties structure
An object that contains the properties associated with a document classifier.
Errors
- InvalidRequestException:
The request is invalid.
- TooManyRequestsException:
The number of requests exceeds the limit. Resubmit your request later.
- ResourceNotFoundException:
The specified resource ARN was not found. Check the ARN and try your request again.
- InternalServerException:
An internal server error occurred. Retry your request.
DescribeDominantLanguageDetectionJob
$result = $client->describeDominantLanguageDetectionJob
([/* ... */]); $promise = $client->describeDominantLanguageDetectionJobAsync
([/* ... */]);
Gets the properties associated with a dominant language detection job. Use this operation to get the status of a detection job.
Parameter Syntax
$result = $client->describeDominantLanguageDetectionJob([ 'JobId' => '<string>', // REQUIRED ]);
Parameter Details
Members
- JobId
-
- Required: Yes
- Type: string
The identifier that Amazon Comprehend generated for the job. The
StartDominantLanguageDetectionJob
operation returns this identifier in its response.
Result Syntax
[ 'DominantLanguageDetectionJobProperties' => [ 'DataAccessRoleArn' => '<string>', 'EndTime' => <DateTime>, 'InputDataConfig' => [ 'DocumentReaderConfig' => [ 'DocumentReadAction' => 'TEXTRACT_DETECT_DOCUMENT_TEXT|TEXTRACT_ANALYZE_DOCUMENT', 'DocumentReadMode' => 'SERVICE_DEFAULT|FORCE_DOCUMENT_READ_ACTION', 'FeatureTypes' => ['<string>', ...], ], 'InputFormat' => 'ONE_DOC_PER_FILE|ONE_DOC_PER_LINE', 'S3Uri' => '<string>', ], 'JobArn' => '<string>', 'JobId' => '<string>', 'JobName' => '<string>', 'JobStatus' => 'SUBMITTED|IN_PROGRESS|COMPLETED|FAILED|STOP_REQUESTED|STOPPED', 'Message' => '<string>', 'OutputDataConfig' => [ 'KmsKeyId' => '<string>', 'S3Uri' => '<string>', ], 'SubmitTime' => <DateTime>, 'VolumeKmsKeyId' => '<string>', 'VpcConfig' => [ 'SecurityGroupIds' => ['<string>', ...], 'Subnets' => ['<string>', ...], ], ], ]
Result Details
Members
- DominantLanguageDetectionJobProperties
-
- Type: DominantLanguageDetectionJobProperties structure
An object that contains the properties associated with a dominant language detection job.
Errors
- InvalidRequestException:
The request is invalid.
- JobNotFoundException:
The specified job was not found. Check the job ID and try again.
- TooManyRequestsException:
The number of requests exceeds the limit. Resubmit your request later.
- InternalServerException:
An internal server error occurred. Retry your request.
DescribeEndpoint
$result = $client->describeEndpoint
([/* ... */]); $promise = $client->describeEndpointAsync
([/* ... */]);
Gets the properties associated with a specific endpoint. Use this operation to get the status of an endpoint. For information about endpoints, see Managing endpoints.
Parameter Syntax
$result = $client->describeEndpoint([ 'EndpointArn' => '<string>', // REQUIRED ]);
Parameter Details
Members
- EndpointArn
-
- Required: Yes
- Type: string
The Amazon Resource Number (ARN) of the endpoint being described.
Result Syntax
[ 'EndpointProperties' => [ 'CreationTime' => <DateTime>, 'CurrentInferenceUnits' => <integer>, 'DataAccessRoleArn' => '<string>', 'DesiredDataAccessRoleArn' => '<string>', 'DesiredInferenceUnits' => <integer>, 'DesiredModelArn' => '<string>', 'EndpointArn' => '<string>', 'FlywheelArn' => '<string>', 'LastModifiedTime' => <DateTime>, 'Message' => '<string>', 'ModelArn' => '<string>', 'Status' => 'CREATING|DELETING|FAILED|IN_SERVICE|UPDATING', ], ]
Result Details
Members
- EndpointProperties
-
- Type: EndpointProperties structure
Describes information associated with the specific endpoint.
Errors
- InvalidRequestException:
The request is invalid.
- TooManyRequestsException:
The number of requests exceeds the limit. Resubmit your request later.
- ResourceNotFoundException:
The specified resource ARN was not found. Check the ARN and try your request again.
- InternalServerException:
An internal server error occurred. Retry your request.
DescribeEntitiesDetectionJob
$result = $client->describeEntitiesDetectionJob
([/* ... */]); $promise = $client->describeEntitiesDetectionJobAsync
([/* ... */]);
Gets the properties associated with an entities detection job. Use this operation to get the status of a detection job.
Parameter Syntax
$result = $client->describeEntitiesDetectionJob([ 'JobId' => '<string>', // REQUIRED ]);
Parameter Details
Members
- JobId
-
- Required: Yes
- Type: string
The identifier that Amazon Comprehend generated for the job. The
StartEntitiesDetectionJob
operation returns this identifier in its response.
Result Syntax
[ 'EntitiesDetectionJobProperties' => [ 'DataAccessRoleArn' => '<string>', 'EndTime' => <DateTime>, 'EntityRecognizerArn' => '<string>', 'FlywheelArn' => '<string>', 'InputDataConfig' => [ 'DocumentReaderConfig' => [ 'DocumentReadAction' => 'TEXTRACT_DETECT_DOCUMENT_TEXT|TEXTRACT_ANALYZE_DOCUMENT', 'DocumentReadMode' => 'SERVICE_DEFAULT|FORCE_DOCUMENT_READ_ACTION', 'FeatureTypes' => ['<string>', ...], ], 'InputFormat' => 'ONE_DOC_PER_FILE|ONE_DOC_PER_LINE', 'S3Uri' => '<string>', ], 'JobArn' => '<string>', 'JobId' => '<string>', 'JobName' => '<string>', 'JobStatus' => 'SUBMITTED|IN_PROGRESS|COMPLETED|FAILED|STOP_REQUESTED|STOPPED', 'LanguageCode' => 'en|es|fr|de|it|pt|ar|hi|ja|ko|zh|zh-TW', 'Message' => '<string>', 'OutputDataConfig' => [ 'KmsKeyId' => '<string>', 'S3Uri' => '<string>', ], 'SubmitTime' => <DateTime>, 'VolumeKmsKeyId' => '<string>', 'VpcConfig' => [ 'SecurityGroupIds' => ['<string>', ...], 'Subnets' => ['<string>', ...], ], ], ]
Result Details
Members
- EntitiesDetectionJobProperties
-
- Type: EntitiesDetectionJobProperties structure
An object that contains the properties associated with an entities detection job.
Errors
- InvalidRequestException:
The request is invalid.
- JobNotFoundException:
The specified job was not found. Check the job ID and try again.
- TooManyRequestsException:
The number of requests exceeds the limit. Resubmit your request later.
- InternalServerException:
An internal server error occurred. Retry your request.
DescribeEntityRecognizer
$result = $client->describeEntityRecognizer
([/* ... */]); $promise = $client->describeEntityRecognizerAsync
([/* ... */]);
Provides details about an entity recognizer including status, S3 buckets containing training data, recognizer metadata, metrics, and so on.
Parameter Syntax
$result = $client->describeEntityRecognizer([ 'EntityRecognizerArn' => '<string>', // REQUIRED ]);
Parameter Details
Members
- EntityRecognizerArn
-
- Required: Yes
- Type: string
The Amazon Resource Name (ARN) that identifies the entity recognizer.
Result Syntax
[ 'EntityRecognizerProperties' => [ 'DataAccessRoleArn' => '<string>', 'EndTime' => <DateTime>, 'EntityRecognizerArn' => '<string>', 'FlywheelArn' => '<string>', 'InputDataConfig' => [ 'Annotations' => [ 'S3Uri' => '<string>', 'TestS3Uri' => '<string>', ], 'AugmentedManifests' => [ [ 'AnnotationDataS3Uri' => '<string>', 'AttributeNames' => ['<string>', ...], 'DocumentType' => 'PLAIN_TEXT_DOCUMENT|SEMI_STRUCTURED_DOCUMENT', 'S3Uri' => '<string>', 'SourceDocumentsS3Uri' => '<string>', 'Split' => 'TRAIN|TEST', ], // ... ], 'DataFormat' => 'COMPREHEND_CSV|AUGMENTED_MANIFEST', 'Documents' => [ 'InputFormat' => 'ONE_DOC_PER_FILE|ONE_DOC_PER_LINE', 'S3Uri' => '<string>', 'TestS3Uri' => '<string>', ], 'EntityList' => [ 'S3Uri' => '<string>', ], 'EntityTypes' => [ [ 'Type' => '<string>', ], // ... ], ], 'LanguageCode' => 'en|es|fr|de|it|pt|ar|hi|ja|ko|zh|zh-TW', 'Message' => '<string>', 'ModelKmsKeyId' => '<string>', 'OutputDataConfig' => [ 'FlywheelStatsS3Prefix' => '<string>', ], 'RecognizerMetadata' => [ 'EntityTypes' => [ [ 'EvaluationMetrics' => [ 'F1Score' => <float>, 'Precision' => <float>, 'Recall' => <float>, ], 'NumberOfTrainMentions' => <integer>, 'Type' => '<string>', ], // ... ], 'EvaluationMetrics' => [ 'F1Score' => <float>, 'Precision' => <float>, 'Recall' => <float>, ], 'NumberOfTestDocuments' => <integer>, 'NumberOfTrainedDocuments' => <integer>, ], 'SourceModelArn' => '<string>', 'Status' => 'SUBMITTED|TRAINING|DELETING|STOP_REQUESTED|STOPPED|IN_ERROR|TRAINED|TRAINED_WITH_WARNING', 'SubmitTime' => <DateTime>, 'TrainingEndTime' => <DateTime>, 'TrainingStartTime' => <DateTime>, 'VersionName' => '<string>', 'VolumeKmsKeyId' => '<string>', 'VpcConfig' => [ 'SecurityGroupIds' => ['<string>', ...], 'Subnets' => ['<string>', ...], ], ], ]
Result Details
Members
- EntityRecognizerProperties
-
- Type: EntityRecognizerProperties structure
Describes information associated with an entity recognizer.
Errors
- InvalidRequestException:
The request is invalid.
- TooManyRequestsException:
The number of requests exceeds the limit. Resubmit your request later.
- ResourceNotFoundException:
The specified resource ARN was not found. Check the ARN and try your request again.
- InternalServerException:
An internal server error occurred. Retry your request.
DescribeEventsDetectionJob
$result = $client->describeEventsDetectionJob
([/* ... */]); $promise = $client->describeEventsDetectionJobAsync
([/* ... */]);
Gets the status and details of an events detection job.
Parameter Syntax
$result = $client->describeEventsDetectionJob([ 'JobId' => '<string>', // REQUIRED ]);
Parameter Details
Members
- JobId
-
- Required: Yes
- Type: string
The identifier of the events detection job.
Result Syntax
[ 'EventsDetectionJobProperties' => [ 'DataAccessRoleArn' => '<string>', 'EndTime' => <DateTime>, 'InputDataConfig' => [ 'DocumentReaderConfig' => [ 'DocumentReadAction' => 'TEXTRACT_DETECT_DOCUMENT_TEXT|TEXTRACT_ANALYZE_DOCUMENT', 'DocumentReadMode' => 'SERVICE_DEFAULT|FORCE_DOCUMENT_READ_ACTION', 'FeatureTypes' => ['<string>', ...], ], 'InputFormat' => 'ONE_DOC_PER_FILE|ONE_DOC_PER_LINE', 'S3Uri' => '<string>', ], 'JobArn' => '<string>', 'JobId' => '<string>', 'JobName' => '<string>', 'JobStatus' => 'SUBMITTED|IN_PROGRESS|COMPLETED|FAILED|STOP_REQUESTED|STOPPED', 'LanguageCode' => 'en|es|fr|de|it|pt|ar|hi|ja|ko|zh|zh-TW', 'Message' => '<string>', 'OutputDataConfig' => [ 'KmsKeyId' => '<string>', 'S3Uri' => '<string>', ], 'SubmitTime' => <DateTime>, 'TargetEventTypes' => ['<string>', ...], ], ]
Result Details
Members
- EventsDetectionJobProperties
-
- Type: EventsDetectionJobProperties structure
An object that contains the properties associated with an event detection job.
Errors
- InvalidRequestException:
The request is invalid.
- JobNotFoundException:
The specified job was not found. Check the job ID and try again.
- TooManyRequestsException:
The number of requests exceeds the limit. Resubmit your request later.
- InternalServerException:
An internal server error occurred. Retry your request.
DescribeFlywheel
$result = $client->describeFlywheel
([/* ... */]); $promise = $client->describeFlywheelAsync
([/* ... */]);
Provides configuration information about the flywheel. For more information about flywheels, see Flywheel overview in the Amazon Comprehend Developer Guide.
Parameter Syntax
$result = $client->describeFlywheel([ 'FlywheelArn' => '<string>', // REQUIRED ]);
Parameter Details
Members
- FlywheelArn
-
- Required: Yes
- Type: string
The Amazon Resource Number (ARN) of the flywheel.
Result Syntax
[ 'FlywheelProperties' => [ 'ActiveModelArn' => '<string>', 'CreationTime' => <DateTime>, 'DataAccessRoleArn' => '<string>', 'DataLakeS3Uri' => '<string>', 'DataSecurityConfig' => [ 'DataLakeKmsKeyId' => '<string>', 'ModelKmsKeyId' => '<string>', 'VolumeKmsKeyId' => '<string>', 'VpcConfig' => [ 'SecurityGroupIds' => ['<string>', ...], 'Subnets' => ['<string>', ...], ], ], 'FlywheelArn' => '<string>', 'LastModifiedTime' => <DateTime>, 'LatestFlywheelIteration' => '<string>', 'Message' => '<string>', 'ModelType' => 'DOCUMENT_CLASSIFIER|ENTITY_RECOGNIZER', 'Status' => 'CREATING|ACTIVE|UPDATING|DELETING|FAILED', 'TaskConfig' => [ 'DocumentClassificationConfig' => [ 'Labels' => ['<string>', ...], 'Mode' => 'MULTI_CLASS|MULTI_LABEL', ], 'EntityRecognitionConfig' => [ 'EntityTypes' => [ [ 'Type' => '<string>', ], // ... ], ], 'LanguageCode' => 'en|es|fr|de|it|pt|ar|hi|ja|ko|zh|zh-TW', ], ], ]
Result Details
Members
- FlywheelProperties
-
- Type: FlywheelProperties structure
The flywheel properties.
Errors
- InvalidRequestException:
The request is invalid.
- TooManyRequestsException:
The number of requests exceeds the limit. Resubmit your request later.
- ResourceNotFoundException:
The specified resource ARN was not found. Check the ARN and try your request again.
- InternalServerException:
An internal server error occurred. Retry your request.
DescribeFlywheelIteration
$result = $client->describeFlywheelIteration
([/* ... */]); $promise = $client->describeFlywheelIterationAsync
([/* ... */]);
Retrieve the configuration properties of a flywheel iteration. For more information about flywheels, see Flywheel overview in the Amazon Comprehend Developer Guide.
Parameter Syntax
$result = $client->describeFlywheelIteration([ 'FlywheelArn' => '<string>', // REQUIRED 'FlywheelIterationId' => '<string>', // REQUIRED ]);
Parameter Details
Members
- FlywheelArn
-
- Required: Yes
- Type: string
- FlywheelIterationId
-
- Required: Yes
- Type: string
Result Syntax
[ 'FlywheelIterationProperties' => [ 'CreationTime' => <DateTime>, 'EndTime' => <DateTime>, 'EvaluatedModelArn' => '<string>', 'EvaluatedModelMetrics' => [ 'AverageAccuracy' => <float>, 'AverageF1Score' => <float>, 'AveragePrecision' => <float>, 'AverageRecall' => <float>, ], 'EvaluationManifestS3Prefix' => '<string>', 'FlywheelArn' => '<string>', 'FlywheelIterationId' => '<string>', 'Message' => '<string>', 'Status' => 'TRAINING|EVALUATING|COMPLETED|FAILED|STOP_REQUESTED|STOPPED', 'TrainedModelArn' => '<string>', 'TrainedModelMetrics' => [ 'AverageAccuracy' => <float>, 'AverageF1Score' => <float>, 'AveragePrecision' => <float>, 'AverageRecall' => <float>, ], ], ]
Result Details
Members
- FlywheelIterationProperties
-
- Type: FlywheelIterationProperties structure
The configuration properties of a flywheel iteration.
Errors
- InvalidRequestException:
The request is invalid.
- TooManyRequestsException:
The number of requests exceeds the limit. Resubmit your request later.
- ResourceNotFoundException:
The specified resource ARN was not found. Check the ARN and try your request again.
- InternalServerException:
An internal server error occurred. Retry your request.
DescribeKeyPhrasesDetectionJob
$result = $client->describeKeyPhrasesDetectionJob
([/* ... */]); $promise = $client->describeKeyPhrasesDetectionJobAsync
([/* ... */]);
Gets the properties associated with a key phrases detection job. Use this operation to get the status of a detection job.
Parameter Syntax
$result = $client->describeKeyPhrasesDetectionJob([ 'JobId' => '<string>', // REQUIRED ]);
Parameter Details
Members
- JobId
-
- Required: Yes
- Type: string
The identifier that Amazon Comprehend generated for the job. The
StartKeyPhrasesDetectionJob
operation returns this identifier in its response.
Result Syntax
[ 'KeyPhrasesDetectionJobProperties' => [ 'DataAccessRoleArn' => '<string>', 'EndTime' => <DateTime>, 'InputDataConfig' => [ 'DocumentReaderConfig' => [ 'DocumentReadAction' => 'TEXTRACT_DETECT_DOCUMENT_TEXT|TEXTRACT_ANALYZE_DOCUMENT', 'DocumentReadMode' => 'SERVICE_DEFAULT|FORCE_DOCUMENT_READ_ACTION', 'FeatureTypes' => ['<string>', ...], ], 'InputFormat' => 'ONE_DOC_PER_FILE|ONE_DOC_PER_LINE', 'S3Uri' => '<string>', ], 'JobArn' => '<string>', 'JobId' => '<string>', 'JobName' => '<string>', 'JobStatus' => 'SUBMITTED|IN_PROGRESS|COMPLETED|FAILED|STOP_REQUESTED|STOPPED', 'LanguageCode' => 'en|es|fr|de|it|pt|ar|hi|ja|ko|zh|zh-TW', 'Message' => '<string>', 'OutputDataConfig' => [ 'KmsKeyId' => '<string>', 'S3Uri' => '<string>', ], 'SubmitTime' => <DateTime>, 'VolumeKmsKeyId' => '<string>', 'VpcConfig' => [ 'SecurityGroupIds' => ['<string>', ...], 'Subnets' => ['<string>', ...], ], ], ]
Result Details
Members
- KeyPhrasesDetectionJobProperties
-
- Type: KeyPhrasesDetectionJobProperties structure
An object that contains the properties associated with a key phrases detection job.
Errors
- InvalidRequestException:
The request is invalid.
- JobNotFoundException:
The specified job was not found. Check the job ID and try again.
- TooManyRequestsException:
The number of requests exceeds the limit. Resubmit your request later.
- InternalServerException:
An internal server error occurred. Retry your request.
DescribePiiEntitiesDetectionJob
$result = $client->describePiiEntitiesDetectionJob
([/* ... */]); $promise = $client->describePiiEntitiesDetectionJobAsync
([/* ... */]);
Gets the properties associated with a PII entities detection job. For example, you can use this operation to get the job status.
Parameter Syntax
$result = $client->describePiiEntitiesDetectionJob([ 'JobId' => '<string>', // REQUIRED ]);
Parameter Details
Members
- JobId
-
- Required: Yes
- Type: string
The identifier that Amazon Comprehend generated for the job. The operation returns this identifier in its response.
Result Syntax
[ 'PiiEntitiesDetectionJobProperties' => [ 'DataAccessRoleArn' => '<string>', 'EndTime' => <DateTime>, 'InputDataConfig' => [ 'DocumentReaderConfig' => [ 'DocumentReadAction' => 'TEXTRACT_DETECT_DOCUMENT_TEXT|TEXTRACT_ANALYZE_DOCUMENT', 'DocumentReadMode' => 'SERVICE_DEFAULT|FORCE_DOCUMENT_READ_ACTION', 'FeatureTypes' => ['<string>', ...], ], 'InputFormat' => 'ONE_DOC_PER_FILE|ONE_DOC_PER_LINE', 'S3Uri' => '<string>', ], 'JobArn' => '<string>', 'JobId' => '<string>', 'JobName' => '<string>', 'JobStatus' => 'SUBMITTED|IN_PROGRESS|COMPLETED|FAILED|STOP_REQUESTED|STOPPED', 'LanguageCode' => 'en|es|fr|de|it|pt|ar|hi|ja|ko|zh|zh-TW', 'Message' => '<string>', 'Mode' => 'ONLY_REDACTION|ONLY_OFFSETS', 'OutputDataConfig' => [ 'KmsKeyId' => '<string>', 'S3Uri' => '<string>', ], 'RedactionConfig' => [ 'MaskCharacter' => '<string>', 'MaskMode' => 'MASK|REPLACE_WITH_PII_ENTITY_TYPE', 'PiiEntityTypes' => ['<string>', ...], ], 'SubmitTime' => <DateTime>, ], ]
Result Details
Members
- PiiEntitiesDetectionJobProperties
-
- Type: PiiEntitiesDetectionJobProperties structure
Provides information about a PII entities detection job.
Errors
- InvalidRequestException:
The request is invalid.
- JobNotFoundException:
The specified job was not found. Check the job ID and try again.
- TooManyRequestsException:
The number of requests exceeds the limit. Resubmit your request later.
- InternalServerException:
An internal server error occurred. Retry your request.
DescribeResourcePolicy
$result = $client->describeResourcePolicy
([/* ... */]); $promise = $client->describeResourcePolicyAsync
([/* ... */]);
Gets the details of a resource-based policy that is attached to a custom model, including the JSON body of the policy.
Parameter Syntax
$result = $client->describeResourcePolicy([ 'ResourceArn' => '<string>', // REQUIRED ]);
Parameter Details
Members
- ResourceArn
-
- Required: Yes
- Type: string
The Amazon Resource Name (ARN) of the custom model version that has the resource policy.
Result Syntax
[ 'CreationTime' => <DateTime>, 'LastModifiedTime' => <DateTime>, 'PolicyRevisionId' => '<string>', 'ResourcePolicy' => '<string>', ]
Result Details
Members
- CreationTime
-
- Type: timestamp (string|DateTime or anything parsable by strtotime)
The time at which the policy was created.
- LastModifiedTime
-
- Type: timestamp (string|DateTime or anything parsable by strtotime)
The time at which the policy was last modified.
- PolicyRevisionId
-
- Type: string
The revision ID of the policy. Each time you modify a policy, Amazon Comprehend assigns a new revision ID, and it deletes the prior version of the policy.
- ResourcePolicy
-
- Type: string
The JSON body of the resource-based policy.
Errors
- InvalidRequestException:
The request is invalid.
- ResourceNotFoundException:
The specified resource ARN was not found. Check the ARN and try your request again.
- InternalServerException:
An internal server error occurred. Retry your request.
DescribeSentimentDetectionJob
$result = $client->describeSentimentDetectionJob
([/* ... */]); $promise = $client->describeSentimentDetectionJobAsync
([/* ... */]);
Gets the properties associated with a sentiment detection job. Use this operation to get the status of a detection job.
Parameter Syntax
$result = $client->describeSentimentDetectionJob([ 'JobId' => '<string>', // REQUIRED ]);
Parameter Details
Members
- JobId
-
- Required: Yes
- Type: string
The identifier that Amazon Comprehend generated for the job. The operation returns this identifier in its response.
Result Syntax
[ 'SentimentDetectionJobProperties' => [ 'DataAccessRoleArn' => '<string>', 'EndTime' => <DateTime>, 'InputDataConfig' => [ 'DocumentReaderConfig' => [ 'DocumentReadAction' => 'TEXTRACT_DETECT_DOCUMENT_TEXT|TEXTRACT_ANALYZE_DOCUMENT', 'DocumentReadMode' => 'SERVICE_DEFAULT|FORCE_DOCUMENT_READ_ACTION', 'FeatureTypes' => ['<string>', ...], ], 'InputFormat' => 'ONE_DOC_PER_FILE|ONE_DOC_PER_LINE', 'S3Uri' => '<string>', ], 'JobArn' => '<string>', 'JobId' => '<string>', 'JobName' => '<string>', 'JobStatus' => 'SUBMITTED|IN_PROGRESS|COMPLETED|FAILED|STOP_REQUESTED|STOPPED', 'LanguageCode' => 'en|es|fr|de|it|pt|ar|hi|ja|ko|zh|zh-TW', 'Message' => '<string>', 'OutputDataConfig' => [ 'KmsKeyId' => '<string>', 'S3Uri' => '<string>', ], 'SubmitTime' => <DateTime>, 'VolumeKmsKeyId' => '<string>', 'VpcConfig' => [ 'SecurityGroupIds' => ['<string>', ...], 'Subnets' => ['<string>', ...], ], ], ]
Result Details
Members
- SentimentDetectionJobProperties
-
- Type: SentimentDetectionJobProperties structure
An object that contains the properties associated with a sentiment detection job.
Errors
- InvalidRequestException:
The request is invalid.
- JobNotFoundException:
The specified job was not found. Check the job ID and try again.
- TooManyRequestsException:
The number of requests exceeds the limit. Resubmit your request later.
- InternalServerException:
An internal server error occurred. Retry your request.
DescribeTargetedSentimentDetectionJob
$result = $client->describeTargetedSentimentDetectionJob
([/* ... */]); $promise = $client->describeTargetedSentimentDetectionJobAsync
([/* ... */]);
Gets the properties associated with a targeted sentiment detection job. Use this operation to get the status of the job.
Parameter Syntax
$result = $client->describeTargetedSentimentDetectionJob([ 'JobId' => '<string>', // REQUIRED ]);
Parameter Details
Members
- JobId
-
- Required: Yes
- Type: string
The identifier that Amazon Comprehend generated for the job. The
StartTargetedSentimentDetectionJob
operation returns this identifier in its response.
Result Syntax
[ 'TargetedSentimentDetectionJobProperties' => [ 'DataAccessRoleArn' => '<string>', 'EndTime' => <DateTime>, 'InputDataConfig' => [ 'DocumentReaderConfig' => [ 'DocumentReadAction' => 'TEXTRACT_DETECT_DOCUMENT_TEXT|TEXTRACT_ANALYZE_DOCUMENT', 'DocumentReadMode' => 'SERVICE_DEFAULT|FORCE_DOCUMENT_READ_ACTION', 'FeatureTypes' => ['<string>', ...], ], 'InputFormat' => 'ONE_DOC_PER_FILE|ONE_DOC_PER_LINE', 'S3Uri' => '<string>', ], 'JobArn' => '<string>', 'JobId' => '<string>', 'JobName' => '<string>', 'JobStatus' => 'SUBMITTED|IN_PROGRESS|COMPLETED|FAILED|STOP_REQUESTED|STOPPED', 'LanguageCode' => 'en|es|fr|de|it|pt|ar|hi|ja|ko|zh|zh-TW', 'Message' => '<string>', 'OutputDataConfig' => [ 'KmsKeyId' => '<string>', 'S3Uri' => '<string>', ], 'SubmitTime' => <DateTime>, 'VolumeKmsKeyId' => '<string>', 'VpcConfig' => [ 'SecurityGroupIds' => ['<string>', ...], 'Subnets' => ['<string>', ...], ], ], ]
Result Details
Members
- TargetedSentimentDetectionJobProperties
-
- Type: TargetedSentimentDetectionJobProperties structure
An object that contains the properties associated with a targeted sentiment detection job.
Errors
- InvalidRequestException:
The request is invalid.
- JobNotFoundException:
The specified job was not found. Check the job ID and try again.
- TooManyRequestsException:
The number of requests exceeds the limit. Resubmit your request later.
- InternalServerException:
An internal server error occurred. Retry your request.
DescribeTopicsDetectionJob
$result = $client->describeTopicsDetectionJob
([/* ... */]); $promise = $client->describeTopicsDetectionJobAsync
([/* ... */]);
Gets the properties associated with a topic detection job. Use this operation to get the status of a detection job.
Parameter Syntax
$result = $client->describeTopicsDetectionJob([ 'JobId' => '<string>', // REQUIRED ]);
Parameter Details
Members
- JobId
-
- Required: Yes
- Type: string
The identifier assigned by the user to the detection job.
Result Syntax
[ 'TopicsDetectionJobProperties' => [ 'DataAccessRoleArn' => '<string>', 'EndTime' => <DateTime>, 'InputDataConfig' => [ 'DocumentReaderConfig' => [ 'DocumentReadAction' => 'TEXTRACT_DETECT_DOCUMENT_TEXT|TEXTRACT_ANALYZE_DOCUMENT', 'DocumentReadMode' => 'SERVICE_DEFAULT|FORCE_DOCUMENT_READ_ACTION', 'FeatureTypes' => ['<string>', ...], ], 'InputFormat' => 'ONE_DOC_PER_FILE|ONE_DOC_PER_LINE', 'S3Uri' => '<string>', ], 'JobArn' => '<string>', 'JobId' => '<string>', 'JobName' => '<string>', 'JobStatus' => 'SUBMITTED|IN_PROGRESS|COMPLETED|FAILED|STOP_REQUESTED|STOPPED', 'Message' => '<string>', 'NumberOfTopics' => <integer>, 'OutputDataConfig' => [ 'KmsKeyId' => '<string>', 'S3Uri' => '<string>', ], 'SubmitTime' => <DateTime>, 'VolumeKmsKeyId' => '<string>', 'VpcConfig' => [ 'SecurityGroupIds' => ['<string>', ...], 'Subnets' => ['<string>', ...], ], ], ]
Result Details
Members
- TopicsDetectionJobProperties
-
- Type: TopicsDetectionJobProperties structure
The list of properties for the requested job.
Errors
- InvalidRequestException:
The request is invalid.
- JobNotFoundException:
The specified job was not found. Check the job ID and try again.
- TooManyRequestsException:
The number of requests exceeds the limit. Resubmit your request later.
- InternalServerException:
An internal server error occurred. Retry your request.
DetectDominantLanguage
$result = $client->detectDominantLanguage
([/* ... */]); $promise = $client->detectDominantLanguageAsync
([/* ... */]);
Determines the dominant language of the input text. For a list of languages that Amazon Comprehend can detect, see Amazon Comprehend Supported Languages.
Parameter Syntax
$result = $client->detectDominantLanguage([ 'Text' => '<string>', // REQUIRED ]);
Parameter Details
Members
- Text
-
- Required: Yes
- Type: string
A UTF-8 text string. The string must contain at least 20 characters. The maximum string size is 100 KB.
Result Syntax
[ 'Languages' => [ [ 'LanguageCode' => '<string>', 'Score' => <float>, ], // ... ], ]
Result Details
Members
- Languages
-
- Type: Array of DominantLanguage structures
Array of languages that Amazon Comprehend detected in the input text. The array is sorted in descending order of the score (the dominant language is always the first element in the array).
For each language, the response returns the RFC 5646 language code and the level of confidence that Amazon Comprehend has in the accuracy of its inference. For more information about RFC 5646, see Tags for Identifying Languages on the IETF Tools web site.
Errors
- InvalidRequestException:
The request is invalid.
- TextSizeLimitExceededException:
The size of the input text exceeds the limit. Use a smaller document.
- InternalServerException:
An internal server error occurred. Retry your request.
DetectEntities
$result = $client->detectEntities
([/* ... */]); $promise = $client->detectEntitiesAsync
([/* ... */]);
Detects named entities in input text when you use the pre-trained model. Detects custom entities if you have a custom entity recognition model.
When detecting named entities using the pre-trained model, use plain text as the input. For more information about named entities, see Entities in the Comprehend Developer Guide.
When you use a custom entity recognition model, you can input plain text or you can upload a single-page input document (text, PDF, Word, or image).
If the system detects errors while processing a page in the input document, the API response includes an entry in Errors
for each error.
If the system detects a document-level error in your input document, the API returns an InvalidRequestException
error response. For details about this exception, see Errors in semi-structured documents in the Comprehend Developer Guide.
Parameter Syntax
$result = $client->detectEntities([ 'Bytes' => <string || resource || Psr\Http\Message\StreamInterface>, 'DocumentReaderConfig' => [ 'DocumentReadAction' => 'TEXTRACT_DETECT_DOCUMENT_TEXT|TEXTRACT_ANALYZE_DOCUMENT', // REQUIRED 'DocumentReadMode' => 'SERVICE_DEFAULT|FORCE_DOCUMENT_READ_ACTION', 'FeatureTypes' => ['<string>', ...], ], 'EndpointArn' => '<string>', 'LanguageCode' => 'en|es|fr|de|it|pt|ar|hi|ja|ko|zh|zh-TW', 'Text' => '<string>', ]);
Parameter Details
Members
- Bytes
-
- Type: blob (string|resource|Psr\Http\Message\StreamInterface)
This field applies only when you use a custom entity recognition model that was trained with PDF annotations. For other cases, enter your text input in the
Text
field.Use the
Bytes
parameter to input a text, PDF, Word or image file. Using a plain-text file in theBytes
parameter is equivelent to using theText
parameter (theEntities
field in the response is identical).You can also use the
Bytes
parameter to input an Amazon TextractDetectDocumentText
orAnalyzeDocument
output file.Provide the input document as a sequence of base64-encoded bytes. If your code uses an Amazon Web Services SDK to detect entities, the SDK may encode the document file bytes for you.
The maximum length of this field depends on the input document type. For details, see Inputs for real-time custom analysis in the Comprehend Developer Guide.
If you use the
Bytes
parameter, do not use theText
parameter. - DocumentReaderConfig
-
- Type: DocumentReaderConfig structure
Provides configuration parameters to override the default actions for extracting text from PDF documents and image files.
- EndpointArn
-
- Type: string
The Amazon Resource Name of an endpoint that is associated with a custom entity recognition model. Provide an endpoint if you want to detect entities by using your own custom model instead of the default model that is used by Amazon Comprehend.
If you specify an endpoint, Amazon Comprehend uses the language of your custom model, and it ignores any language code that you provide in your request.
For information about endpoints, see Managing endpoints.
- LanguageCode
-
- Type: string
The language of the input documents. You can specify any of the primary languages supported by Amazon Comprehend. If your request includes the endpoint for a custom entity recognition model, Amazon Comprehend uses the language of your custom model, and it ignores any language code that you specify here.
All input documents must be in the same language.
- Text
-
- Type: string
A UTF-8 text string. The maximum string size is 100 KB. If you enter text using this parameter, do not use the
Bytes
parameter.
Result Syntax
[ 'Blocks' => [ [ 'BlockType' => 'LINE|WORD', 'Geometry' => [ 'BoundingBox' => [ 'Height' => <float>, 'Left' => <float>, 'Top' => <float>, 'Width' => <float>, ], 'Polygon' => [ [ 'X' => <float>, 'Y' => <float>, ], // ... ], ], 'Id' => '<string>', 'Page' => <integer>, 'Relationships' => [ [ 'Ids' => ['<string>', ...], 'Type' => 'CHILD', ], // ... ], 'Text' => '<string>', ], // ... ], 'DocumentMetadata' => [ 'ExtractedCharacters' => [ [ 'Count' => <integer>, 'Page' => <integer>, ], // ... ], 'Pages' => <integer>, ], 'DocumentType' => [ [ 'Page' => <integer>, 'Type' => 'NATIVE_PDF|SCANNED_PDF|MS_WORD|IMAGE|PLAIN_TEXT|TEXTRACT_DETECT_DOCUMENT_TEXT_JSON|TEXTRACT_ANALYZE_DOCUMENT_JSON', ], // ... ], 'Entities' => [ [ 'BeginOffset' => <integer>, 'BlockReferences' => [ [ 'BeginOffset' => <integer>, 'BlockId' => '<string>', 'ChildBlocks' => [ [ 'BeginOffset' => <integer>, 'ChildBlockId' => '<string>', 'EndOffset' => <integer>, ], // ... ], 'EndOffset' => <integer>, ], // ... ], 'EndOffset' => <integer>, 'Score' => <float>, 'Text' => '<string>', 'Type' => 'PERSON|LOCATION|ORGANIZATION|COMMERCIAL_ITEM|EVENT|DATE|QUANTITY|TITLE|OTHER', ], // ... ], 'Errors' => [ [ 'ErrorCode' => 'TEXTRACT_BAD_PAGE|TEXTRACT_PROVISIONED_THROUGHPUT_EXCEEDED|PAGE_CHARACTERS_EXCEEDED|PAGE_SIZE_EXCEEDED|INTERNAL_SERVER_ERROR', 'ErrorMessage' => '<string>', 'Page' => <integer>, ], // ... ], ]
Result Details
Members
- Blocks
-
- Type: Array of Block structures
Information about each block of text in the input document. Blocks are nested. A page block contains a block for each line of text, which contains a block for each word.
The
Block
content for a Word input document does not include aGeometry
field.The
Block
field is not present in the response for plain-text inputs. - DocumentMetadata
-
- Type: DocumentMetadata structure
Information about the document, discovered during text extraction. This field is present in the response only if your request used the
Byte
parameter. - DocumentType
-
- Type: Array of DocumentTypeListItem structures
The document type for each page in the input document. This field is present in the response only if your request used the
Byte
parameter. - Entities
-
- Type: Array of Entity structures
A collection of entities identified in the input text. For each entity, the response provides the entity text, entity type, where the entity text begins and ends, and the level of confidence that Amazon Comprehend has in the detection.
If your request uses a custom entity recognition model, Amazon Comprehend detects the entities that the model is trained to recognize. Otherwise, it detects the default entity types. For a list of default entity types, see Entities in the Comprehend Developer Guide.
- Errors
-
- Type: Array of ErrorsListItem structures
Page-level errors that the system detected while processing the input document. The field is empty if the system encountered no errors.
Errors
- InvalidRequestException:
The request is invalid.
- ResourceUnavailableException:
The specified resource is not available. Check the resource and try your request again.
- TextSizeLimitExceededException:
The size of the input text exceeds the limit. Use a smaller document.
- UnsupportedLanguageException:
Amazon Comprehend can't process the language of the input text. For a list of supported languages, Supported languages in the Comprehend Developer Guide.
- InternalServerException:
An internal server error occurred. Retry your request.
DetectKeyPhrases
$result = $client->detectKeyPhrases
([/* ... */]); $promise = $client->detectKeyPhrasesAsync
([/* ... */]);
Detects the key noun phrases found in the text.
Parameter Syntax
$result = $client->detectKeyPhrases([ 'LanguageCode' => 'en|es|fr|de|it|pt|ar|hi|ja|ko|zh|zh-TW', // REQUIRED 'Text' => '<string>', // REQUIRED ]);
Parameter Details
Members
- LanguageCode
-
- Required: Yes
- Type: string
The language of the input documents. You can specify any of the primary languages supported by Amazon Comprehend. All documents must be in the same language.
- Text
-
- Required: Yes
- Type: string
A UTF-8 text string. The string must contain less than 100 KB of UTF-8 encoded characters.
Result Syntax
[ 'KeyPhrases' => [ [ 'BeginOffset' => <integer>, 'EndOffset' => <integer>, 'Score' => <float>, 'Text' => '<string>', ], // ... ], ]
Result Details
Members
- KeyPhrases
-
- Type: Array of KeyPhrase structures
A collection of key phrases that Amazon Comprehend identified in the input text. For each key phrase, the response provides the text of the key phrase, where the key phrase begins and ends, and the level of confidence that Amazon Comprehend has in the accuracy of the detection.
Errors
- InvalidRequestException:
The request is invalid.
- TextSizeLimitExceededException:
The size of the input text exceeds the limit. Use a smaller document.
- UnsupportedLanguageException:
Amazon Comprehend can't process the language of the input text. For a list of supported languages, Supported languages in the Comprehend Developer Guide.
- InternalServerException:
An internal server error occurred. Retry your request.
DetectPiiEntities
$result = $client->detectPiiEntities
([/* ... */]); $promise = $client->detectPiiEntitiesAsync
([/* ... */]);
Inspects the input text for entities that contain personally identifiable information (PII) and returns information about them.
Parameter Syntax
$result = $client->detectPiiEntities([ 'LanguageCode' => 'en|es|fr|de|it|pt|ar|hi|ja|ko|zh|zh-TW', // REQUIRED 'Text' => '<string>', // REQUIRED ]);
Parameter Details
Members
- LanguageCode
-
- Required: Yes
- Type: string
The language of the input text. Enter the language code for English (en) or Spanish (es).
- Text
-
- Required: Yes
- Type: string
A UTF-8 text string. The maximum string size is 100 KB.
Result Syntax
[ 'Entities' => [ [ 'BeginOffset' => <integer>, 'EndOffset' => <integer>, 'Score' => <float>, 'Type' => 'BANK_ACCOUNT_NUMBER|BANK_ROUTING|CREDIT_DEBIT_NUMBER|CREDIT_DEBIT_CVV|CREDIT_DEBIT_EXPIRY|PIN|EMAIL|ADDRESS|NAME|PHONE|SSN|DATE_TIME|PASSPORT_NUMBER|DRIVER_ID|URL|AGE|USERNAME|PASSWORD|AWS_ACCESS_KEY|AWS_SECRET_KEY|IP_ADDRESS|MAC_ADDRESS|ALL|LICENSE_PLATE|VEHICLE_IDENTIFICATION_NUMBER|UK_NATIONAL_INSURANCE_NUMBER|CA_SOCIAL_INSURANCE_NUMBER|US_INDIVIDUAL_TAX_IDENTIFICATION_NUMBER|UK_UNIQUE_TAXPAYER_REFERENCE_NUMBER|IN_PERMANENT_ACCOUNT_NUMBER|IN_NREGA|INTERNATIONAL_BANK_ACCOUNT_NUMBER|SWIFT_CODE|UK_NATIONAL_HEALTH_SERVICE_NUMBER|CA_HEALTH_NUMBER|IN_AADHAAR|IN_VOTER_NUMBER', ], // ... ], ]
Result Details
Members
- Entities
-
- Type: Array of PiiEntity structures
A collection of PII entities identified in the input text. For each entity, the response provides the entity type, where the entity text begins and ends, and the level of confidence that Amazon Comprehend has in the detection.
Errors
- InvalidRequestException:
The request is invalid.
- TextSizeLimitExceededException:
The size of the input text exceeds the limit. Use a smaller document.
- UnsupportedLanguageException:
Amazon Comprehend can't process the language of the input text. For a list of supported languages, Supported languages in the Comprehend Developer Guide.
- InternalServerException:
An internal server error occurred. Retry your request.
DetectSentiment
$result = $client->detectSentiment
([/* ... */]); $promise = $client->detectSentimentAsync
([/* ... */]);
Inspects text and returns an inference of the prevailing sentiment (POSITIVE
, NEUTRAL
, MIXED
, or NEGATIVE
).
Parameter Syntax
$result = $client->detectSentiment([ 'LanguageCode' => 'en|es|fr|de|it|pt|ar|hi|ja|ko|zh|zh-TW', // REQUIRED 'Text' => '<string>', // REQUIRED ]);
Parameter Details
Members
- LanguageCode
-
- Required: Yes
- Type: string
The language of the input documents. You can specify any of the primary languages supported by Amazon Comprehend. All documents must be in the same language.
- Text
-
- Required: Yes
- Type: string
A UTF-8 text string. The maximum string size is 5 KB.
Result Syntax
[ 'Sentiment' => 'POSITIVE|NEGATIVE|NEUTRAL|MIXED', 'SentimentScore' => [ 'Mixed' => <float>, 'Negative' => <float>, 'Neutral' => <float>, 'Positive' => <float>, ], ]
Result Details
Members
- Sentiment
-
- Type: string
The inferred sentiment that Amazon Comprehend has the highest level of confidence in.
- SentimentScore
-
- Type: SentimentScore structure
An object that lists the sentiments, and their corresponding confidence levels.
Errors
- InvalidRequestException:
The request is invalid.
- TextSizeLimitExceededException:
The size of the input text exceeds the limit. Use a smaller document.
- UnsupportedLanguageException:
Amazon Comprehend can't process the language of the input text. For a list of supported languages, Supported languages in the Comprehend Developer Guide.
- InternalServerException:
An internal server error occurred. Retry your request.
DetectSyntax
$result = $client->detectSyntax
([/* ... */]); $promise = $client->detectSyntaxAsync
([/* ... */]);
Inspects text for syntax and the part of speech of words in the document. For more information, see Syntax in the Comprehend Developer Guide.
Parameter Syntax
$result = $client->detectSyntax([ 'LanguageCode' => 'en|es|fr|de|it|pt', // REQUIRED 'Text' => '<string>', // REQUIRED ]);
Parameter Details
Members
- LanguageCode
-
- Required: Yes
- Type: string
The language code of the input documents. You can specify any of the following languages supported by Amazon Comprehend: German ("de"), English ("en"), Spanish ("es"), French ("fr"), Italian ("it"), or Portuguese ("pt").
- Text
-
- Required: Yes
- Type: string
A UTF-8 string. The maximum string size is 5 KB.
Result Syntax
[ 'SyntaxTokens' => [ [ 'BeginOffset' => <integer>, 'EndOffset' => <integer>, 'PartOfSpeech' => [ 'Score' => <float>, 'Tag' => 'ADJ|ADP|ADV|AUX|CONJ|CCONJ|DET|INTJ|NOUN|NUM|O|PART|PRON|PROPN|PUNCT|SCONJ|SYM|VERB', ], 'Text' => '<string>', 'TokenId' => <integer>, ], // ... ], ]
Result Details
Members
- SyntaxTokens
-
- Type: Array of SyntaxToken structures
A collection of syntax tokens describing the text. For each token, the response provides the text, the token type, where the text begins and ends, and the level of confidence that Amazon Comprehend has that the token is correct. For a list of token types, see Syntax in the Comprehend Developer Guide.
Errors
- InvalidRequestException:
The request is invalid.
- TextSizeLimitExceededException:
The size of the input text exceeds the limit. Use a smaller document.
- UnsupportedLanguageException:
Amazon Comprehend can't process the language of the input text. For a list of supported languages, Supported languages in the Comprehend Developer Guide.
- InternalServerException:
An internal server error occurred. Retry your request.
DetectTargetedSentiment
$result = $client->detectTargetedSentiment
([/* ... */]); $promise = $client->detectTargetedSentimentAsync
([/* ... */]);
Inspects the input text and returns a sentiment analysis for each entity identified in the text.
For more information about targeted sentiment, see Targeted sentiment in the Amazon Comprehend Developer Guide.
Parameter Syntax
$result = $client->detectTargetedSentiment([ 'LanguageCode' => 'en|es|fr|de|it|pt|ar|hi|ja|ko|zh|zh-TW', // REQUIRED 'Text' => '<string>', // REQUIRED ]);
Parameter Details
Members
- LanguageCode
-
- Required: Yes
- Type: string
The language of the input documents. Currently, English is the only supported language.
- Text
-
- Required: Yes
- Type: string
A UTF-8 text string. The maximum string length is 5 KB.
Result Syntax
[ 'Entities' => [ [ 'DescriptiveMentionIndex' => [<integer>, ...], 'Mentions' => [ [ 'BeginOffset' => <integer>, 'EndOffset' => <integer>, 'GroupScore' => <float>, 'MentionSentiment' => [ 'Sentiment' => 'POSITIVE|NEGATIVE|NEUTRAL|MIXED', 'SentimentScore' => [ 'Mixed' => <float>, 'Negative' => <float>, 'Neutral' => <float>, 'Positive' => <float>, ], ], 'Score' => <float>, 'Text' => '<string>', 'Type' => 'PERSON|LOCATION|ORGANIZATION|FACILITY|BRAND|COMMERCIAL_ITEM|MOVIE|MUSIC|BOOK|SOFTWARE|GAME|PERSONAL_TITLE|EVENT|DATE|QUANTITY|ATTRIBUTE|OTHER', ], // ... ], ], // ... ], ]
Result Details
Members
- Entities
-
- Type: Array of TargetedSentimentEntity structures
Targeted sentiment analysis for each of the entities identified in the input text.
Errors
- InvalidRequestException:
The request is invalid.
- TextSizeLimitExceededException:
The size of the input text exceeds the limit. Use a smaller document.
- UnsupportedLanguageException:
Amazon Comprehend can't process the language of the input text. For a list of supported languages, Supported languages in the Comprehend Developer Guide.
- InternalServerException:
An internal server error occurred. Retry your request.
DetectToxicContent
$result = $client->detectToxicContent
([/* ... */]); $promise = $client->detectToxicContentAsync
([/* ... */]);
Performs toxicity analysis on the list of text strings that you provide as input. The API response contains a results list that matches the size of the input list. For more information about toxicity detection, see Toxicity detection in the Amazon Comprehend Developer Guide.
Parameter Syntax
$result = $client->detectToxicContent([ 'LanguageCode' => 'en|es|fr|de|it|pt|ar|hi|ja|ko|zh|zh-TW', // REQUIRED 'TextSegments' => [ // REQUIRED [ 'Text' => '<string>', // REQUIRED ], // ... ], ]);
Parameter Details
Members
- LanguageCode
-
- Required: Yes
- Type: string
The language of the input text. Currently, English is the only supported language.
- TextSegments
-
- Required: Yes
- Type: Array of TextSegment structures
A list of up to 10 text strings. Each string has a maximum size of 1 KB, and the maximum size of the list is 10 KB.
Result Syntax
[ 'ResultList' => [ [ 'Labels' => [ [ 'Name' => 'GRAPHIC|HARASSMENT_OR_ABUSE|HATE_SPEECH|INSULT|PROFANITY|SEXUAL|VIOLENCE_OR_THREAT', 'Score' => <float>, ], // ... ], 'Toxicity' => <float>, ], // ... ], ]
Result Details
Members
- ResultList
-
- Type: Array of ToxicLabels structures
Results of the content moderation analysis. Each entry in the results list contains a list of toxic content types identified in the text, along with a confidence score for each content type. The results list also includes a toxicity score for each entry in the results list.
Errors
- InvalidRequestException:
The request is invalid.
- TextSizeLimitExceededException:
The size of the input text exceeds the limit. Use a smaller document.
- UnsupportedLanguageException:
Amazon Comprehend can't process the language of the input text. For a list of supported languages, Supported languages in the Comprehend Developer Guide.
- InternalServerException:
An internal server error occurred. Retry your request.
ImportModel
$result = $client->importModel
([/* ... */]); $promise = $client->importModelAsync
([/* ... */]);
Creates a new custom model that replicates a source custom model that you import. The source model can be in your Amazon Web Services account or another one.
If the source model is in another Amazon Web Services account, then it must have a resource-based policy that authorizes you to import it.
The source model must be in the same Amazon Web Services Region that you're using when you import. You can't import a model that's in a different Region.
Parameter Syntax
$result = $client->importModel([ 'DataAccessRoleArn' => '<string>', 'ModelKmsKeyId' => '<string>', 'ModelName' => '<string>', 'SourceModelArn' => '<string>', // REQUIRED 'Tags' => [ [ 'Key' => '<string>', // REQUIRED 'Value' => '<string>', ], // ... ], 'VersionName' => '<string>', ]);
Parameter Details
Members
- DataAccessRoleArn
-
- Type: string
The Amazon Resource Name (ARN) of the IAM role that grants Amazon Comprehend permission to use Amazon Key Management Service (KMS) to encrypt or decrypt the custom model.
- ModelKmsKeyId
-
- Type: string
ID for the KMS key that Amazon Comprehend uses to encrypt trained custom models. The ModelKmsKeyId can be either of the following formats:
-
KMS Key ID:
"1234abcd-12ab-34cd-56ef-1234567890ab"
-
Amazon Resource Name (ARN) of a KMS Key:
"arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab"
- ModelName
-
- Type: string
The name to assign to the custom model that is created in Amazon Comprehend by this import.
- SourceModelArn
-
- Required: Yes
- Type: string
The Amazon Resource Name (ARN) of the custom model to import.
- Tags
-
- Type: Array of Tag structures
Tags to associate with the custom model that is created by this import. A tag is a key-value pair that adds as a metadata to a resource used by Amazon Comprehend. For example, a tag with "Sales" as the key might be added to a resource to indicate its use by the sales department.
- VersionName
-
- Type: string
The version name given to the custom model that is created by this import. Version names can have a maximum of 256 characters. Alphanumeric characters, hyphens (-) and underscores (_) are allowed. The version name must be unique among all models with the same classifier name in the account/Region.
Result Syntax
[ 'ModelArn' => '<string>', ]
Result Details
Members
- ModelArn
-
- Type: string
The Amazon Resource Name (ARN) of the custom model being imported.
Errors
- InvalidRequestException:
The request is invalid.
- ResourceNotFoundException:
The specified resource ARN was not found. Check the ARN and try your request again.
- ResourceInUseException:
The specified resource name is already in use. Use a different name and try your request again.
- ResourceUnavailableException:
The specified resource is not available. Check the resource and try your request again.
- TooManyTagsException:
The request contains more tags than can be associated with a resource (50 tags per resource). The maximum number of tags includes both existing tags and those included in your current request.
- TooManyRequestsException:
The number of requests exceeds the limit. Resubmit your request later.
- ResourceLimitExceededException:
The maximum number of resources per account has been exceeded. Review the resources, and then try your request again.
- KmsKeyValidationException:
The KMS customer managed key (CMK) entered cannot be validated. Verify the key and re-enter it.
- InternalServerException:
An internal server error occurred. Retry your request.
ListDatasets
$result = $client->listDatasets
([/* ... */]); $promise = $client->listDatasetsAsync
([/* ... */]);
List the datasets that you have configured in this Region. For more information about datasets, see Flywheel overview in the Amazon Comprehend Developer Guide.
Parameter Syntax
$result = $client->listDatasets([ 'Filter' => [ 'CreationTimeAfter' => <integer || string || DateTime>, 'CreationTimeBefore' => <integer || string || DateTime>, 'DatasetType' => 'TRAIN|TEST', 'Status' => 'CREATING|COMPLETED|FAILED', ], 'FlywheelArn' => '<string>', 'MaxResults' => <integer>, 'NextToken' => '<string>', ]);
Parameter Details
Members
- Filter
-
- Type: DatasetFilter structure
Filters the datasets to be returned in the response.
- FlywheelArn
-
- Type: string
The Amazon Resource Number (ARN) of the flywheel.
- MaxResults
-
- Type: int
Maximum number of results to return in a response. The default is 100.
- NextToken
-
- Type: string
Identifies the next page of results to return.
Result Syntax
[ 'DatasetPropertiesList' => [ [ 'CreationTime' => <DateTime>, 'DatasetArn' => '<string>', 'DatasetName' => '<string>', 'DatasetS3Uri' => '<string>', 'DatasetType' => 'TRAIN|TEST', 'Description' => '<string>', 'EndTime' => <DateTime>, 'Message' => '<string>', 'NumberOfDocuments' => <integer>, 'Status' => 'CREATING|COMPLETED|FAILED', ], // ... ], 'NextToken' => '<string>', ]
Result Details
Members
- DatasetPropertiesList
-
- Type: Array of DatasetProperties structures
The dataset properties list.
- NextToken
-
- Type: string
Identifies the next page of results to return.
Errors
- InvalidRequestException:
The request is invalid.
- TooManyRequestsException:
The number of requests exceeds the limit. Resubmit your request later.
- InvalidFilterException:
The filter specified for the operation is invalid. Specify a different filter.
- ResourceNotFoundException:
The specified resource ARN was not found. Check the ARN and try your request again.
- InternalServerException:
An internal server error occurred. Retry your request.
ListDocumentClassificationJobs
$result = $client->listDocumentClassificationJobs
([/* ... */]); $promise = $client->listDocumentClassificationJobsAsync
([/* ... */]);
Gets a list of the documentation classification jobs that you have submitted.
Parameter Syntax
$result = $client->listDocumentClassificationJobs([ 'Filter' => [ 'JobName' => '<string>', 'JobStatus' => 'SUBMITTED|IN_PROGRESS|COMPLETED|FAILED|STOP_REQUESTED|STOPPED', 'SubmitTimeAfter' => <integer || string || DateTime>, 'SubmitTimeBefore' => <integer || string || DateTime>, ], 'MaxResults' => <integer>, 'NextToken' => '<string>', ]);
Parameter Details
Members
- Filter
-
- Type: DocumentClassificationJobFilter structure
Filters the jobs that are returned. You can filter jobs on their names, status, or the date and time that they were submitted. You can only set one filter at a time.
- MaxResults
-
- Type: int
The maximum number of results to return in each page. The default is 100.
- NextToken
-
- Type: string
Identifies the next page of results to return.
Result Syntax
[ 'DocumentClassificationJobPropertiesList' => [ [ 'DataAccessRoleArn' => '<string>', 'DocumentClassifierArn' => '<string>', 'EndTime' => <DateTime>, 'FlywheelArn' => '<string>', 'InputDataConfig' => [ 'DocumentReaderConfig' => [ 'DocumentReadAction' => 'TEXTRACT_DETECT_DOCUMENT_TEXT|TEXTRACT_ANALYZE_DOCUMENT', 'DocumentReadMode' => 'SERVICE_DEFAULT|FORCE_DOCUMENT_READ_ACTION', 'FeatureTypes' => ['<string>', ...], ], 'InputFormat' => 'ONE_DOC_PER_FILE|ONE_DOC_PER_LINE', 'S3Uri' => '<string>', ], 'JobArn' => '<string>', 'JobId' => '<string>', 'JobName' => '<string>', 'JobStatus' => 'SUBMITTED|IN_PROGRESS|COMPLETED|FAILED|STOP_REQUESTED|STOPPED', 'Message' => '<string>', 'OutputDataConfig' => [ 'KmsKeyId' => '<string>', 'S3Uri' => '<string>', ], 'SubmitTime' => <DateTime>, 'VolumeKmsKeyId' => '<string>', 'VpcConfig' => [ 'SecurityGroupIds' => ['<string>', ...], 'Subnets' => ['<string>', ...], ], ], // ... ], 'NextToken' => '<string>', ]
Result Details
Members
- DocumentClassificationJobPropertiesList
-
- Type: Array of DocumentClassificationJobProperties structures
A list containing the properties of each job returned.
- NextToken
-
- Type: string
Identifies the next page of results to return.
Errors
- InvalidRequestException:
The request is invalid.
- TooManyRequestsException:
The number of requests exceeds the limit. Resubmit your request later.
- InvalidFilterException:
The filter specified for the operation is invalid. Specify a different filter.
- InternalServerException:
An internal server error occurred. Retry your request.
ListDocumentClassifierSummaries
$result = $client->listDocumentClassifierSummaries
([/* ... */]); $promise = $client->listDocumentClassifierSummariesAsync
([/* ... */]);
Gets a list of summaries of the document classifiers that you have created
Parameter Syntax
$result = $client->listDocumentClassifierSummaries([ 'MaxResults' => <integer>, 'NextToken' => '<string>', ]);
Parameter Details
Members
- MaxResults
-
- Type: int
The maximum number of results to return on each page. The default is 100.
- NextToken
-
- Type: string
Identifies the next page of results to return.
Result Syntax
[ 'DocumentClassifierSummariesList' => [ [ 'DocumentClassifierName' => '<string>', 'LatestVersionCreatedAt' => <DateTime>, 'LatestVersionName' => '<string>', 'LatestVersionStatus' => 'SUBMITTED|TRAINING|DELETING|STOP_REQUESTED|STOPPED|IN_ERROR|TRAINED|TRAINED_WITH_WARNING', 'NumberOfVersions' => <integer>, ], // ... ], 'NextToken' => '<string>', ]
Result Details
Members
- DocumentClassifierSummariesList
-
- Type: Array of DocumentClassifierSummary structures
The list of summaries of document classifiers.
- NextToken
-
- Type: string
Identifies the next page of results to return.
Errors
- InvalidRequestException:
The request is invalid.
- TooManyRequestsException:
The number of requests exceeds the limit. Resubmit your request later.
- InternalServerException:
An internal server error occurred. Retry your request.
ListDocumentClassifiers
$result = $client->listDocumentClassifiers
([/* ... */]); $promise = $client->listDocumentClassifiersAsync
([/* ... */]);
Gets a list of the document classifiers that you have created.
Parameter Syntax
$result = $client->listDocumentClassifiers([ 'Filter' => [ 'DocumentClassifierName' => '<string>', 'Status' => 'SUBMITTED|TRAINING|DELETING|STOP_REQUESTED|STOPPED|IN_ERROR|TRAINED|TRAINED_WITH_WARNING', 'SubmitTimeAfter' => <integer || string || DateTime>, 'SubmitTimeBefore' => <integer || string || DateTime>, ], 'MaxResults' => <integer>, 'NextToken' => '<string>', ]);
Parameter Details
Members
- Filter
-
- Type: DocumentClassifierFilter structure
Filters the jobs that are returned. You can filter jobs on their name, status, or the date and time that they were submitted. You can only set one filter at a time.
- MaxResults
-
- Type: int
The maximum number of results to return in each page. The default is 100.
- NextToken
-
- Type: string
Identifies the next page of results to return.
Result Syntax
[ 'DocumentClassifierPropertiesList' => [ [ 'ClassifierMetadata' => [ 'EvaluationMetrics' => [ 'Accuracy' => <float>, 'F1Score' => <float>, 'HammingLoss' => <float>, 'MicroF1Score' => <float>, 'MicroPrecision' => <float>, 'MicroRecall' => <float>, 'Precision' => <float>, 'Recall' => <float>, ], 'NumberOfLabels' => <integer>, 'NumberOfTestDocuments' => <integer>, 'NumberOfTrainedDocuments' => <integer>, ], 'DataAccessRoleArn' => '<string>', 'DocumentClassifierArn' => '<string>', 'EndTime' => <DateTime>, 'FlywheelArn' => '<string>', 'InputDataConfig' => [ 'AugmentedManifests' => [ [ 'AnnotationDataS3Uri' => '<string>', 'AttributeNames' => ['<string>', ...], 'DocumentType' => 'PLAIN_TEXT_DOCUMENT|SEMI_STRUCTURED_DOCUMENT', 'S3Uri' => '<string>', 'SourceDocumentsS3Uri' => '<string>', 'Split' => 'TRAIN|TEST', ], // ... ], 'DataFormat' => 'COMPREHEND_CSV|AUGMENTED_MANIFEST', 'DocumentReaderConfig' => [ 'DocumentReadAction' => 'TEXTRACT_DETECT_DOCUMENT_TEXT|TEXTRACT_ANALYZE_DOCUMENT', 'DocumentReadMode' => 'SERVICE_DEFAULT|FORCE_DOCUMENT_READ_ACTION', 'FeatureTypes' => ['<string>', ...], ], 'DocumentType' => 'PLAIN_TEXT_DOCUMENT|SEMI_STRUCTURED_DOCUMENT', 'Documents' => [ 'S3Uri' => '<string>', 'TestS3Uri' => '<string>', ], 'LabelDelimiter' => '<string>', 'S3Uri' => '<string>', 'TestS3Uri' => '<string>', ], 'LanguageCode' => 'en|es|fr|de|it|pt|ar|hi|ja|ko|zh|zh-TW', 'Message' => '<string>', 'Mode' => 'MULTI_CLASS|MULTI_LABEL', 'ModelKmsKeyId' => '<string>', 'OutputDataConfig' => [ 'FlywheelStatsS3Prefix' => '<string>', 'KmsKeyId' => '<string>', 'S3Uri' => '<string>', ], 'SourceModelArn' => '<string>', 'Status' => 'SUBMITTED|TRAINING|DELETING|STOP_REQUESTED|STOPPED|IN_ERROR|TRAINED|TRAINED_WITH_WARNING', 'SubmitTime' => <DateTime>, 'TrainingEndTime' => <DateTime>, 'TrainingStartTime' => <DateTime>, 'VersionName' => '<string>', 'VolumeKmsKeyId' => '<string>', 'VpcConfig' => [ 'SecurityGroupIds' => ['<string>', ...], 'Subnets' => ['<string>', ...], ], ], // ... ], 'NextToken' => '<string>', ]
Result Details
Members
- DocumentClassifierPropertiesList
-
- Type: Array of DocumentClassifierProperties structures
A list containing the properties of each job returned.
- NextToken
-
- Type: string
Identifies the next page of results to return.
Errors
- InvalidRequestException:
The request is invalid.
- TooManyRequestsException:
The number of requests exceeds the limit. Resubmit your request later.
- InvalidFilterException:
The filter specified for the operation is invalid. Specify a different filter.
- InternalServerException:
An internal server error occurred. Retry your request.
ListDominantLanguageDetectionJobs
$result = $client->listDominantLanguageDetectionJobs
([/* ... */]); $promise = $client->listDominantLanguageDetectionJobsAsync
([/* ... */]);
Gets a list of the dominant language detection jobs that you have submitted.
Parameter Syntax
$result = $client->listDominantLanguageDetectionJobs([ 'Filter' => [ 'JobName' => '<string>', 'JobStatus' => 'SUBMITTED|IN_PROGRESS|COMPLETED|FAILED|STOP_REQUESTED|STOPPED', 'SubmitTimeAfter' => <integer || string || DateTime>, 'SubmitTimeBefore' => <integer || string || DateTime>, ], 'MaxResults' => <integer>, 'NextToken' => '<string>', ]);
Parameter Details
Members
- Filter
-
- Type: DominantLanguageDetectionJobFilter structure
Filters that jobs that are returned. You can filter jobs on their name, status, or the date and time that they were submitted. You can only set one filter at a time.
- MaxResults
-
- Type: int
The maximum number of results to return in each page. The default is 100.
- NextToken
-
- Type: string
Identifies the next page of results to return.
Result Syntax
[ 'DominantLanguageDetectionJobPropertiesList' => [ [ 'DataAccessRoleArn' => '<string>', 'EndTime' => <DateTime>, 'InputDataConfig' => [ 'DocumentReaderConfig' => [ 'DocumentReadAction' => 'TEXTRACT_DETECT_DOCUMENT_TEXT|TEXTRACT_ANALYZE_DOCUMENT', 'DocumentReadMode' => 'SERVICE_DEFAULT|FORCE_DOCUMENT_READ_ACTION', 'FeatureTypes' => ['<string>', ...], ], 'InputFormat' => 'ONE_DOC_PER_FILE|ONE_DOC_PER_LINE', 'S3Uri' => '<string>', ], 'JobArn' => '<string>', 'JobId' => '<string>', 'JobName' => '<string>', 'JobStatus' => 'SUBMITTED|IN_PROGRESS|COMPLETED|FAILED|STOP_REQUESTED|STOPPED', 'Message' => '<string>', 'OutputDataConfig' => [ 'KmsKeyId' => '<string>', 'S3Uri' => '<string>', ], 'SubmitTime' => <DateTime>, 'VolumeKmsKeyId' => '<string>', 'VpcConfig' => [ 'SecurityGroupIds' => ['<string>', ...], 'Subnets' => ['<string>', ...], ], ], // ... ], 'NextToken' => '<string>', ]
Result Details
Members
- DominantLanguageDetectionJobPropertiesList
-
- Type: Array of DominantLanguageDetectionJobProperties structures
A list containing the properties of each job that is returned.
- NextToken
-
- Type: string
Identifies the next page of results to return.
Errors
- InvalidRequestException:
The request is invalid.
- TooManyRequestsException:
The number of requests exceeds the limit. Resubmit your request later.
- InvalidFilterException:
The filter specified for the operation is invalid. Specify a different filter.
- InternalServerException:
An internal server error occurred. Retry your request.
ListEndpoints
$result = $client->listEndpoints
([/* ... */]); $promise = $client->listEndpointsAsync
([/* ... */]);
Gets a list of all existing endpoints that you've created. For information about endpoints, see Managing endpoints.
Parameter Syntax
$result = $client->listEndpoints([ 'Filter' => [ 'CreationTimeAfter' => <integer || string || DateTime>, 'CreationTimeBefore' => <integer || string || DateTime>, 'ModelArn' => '<string>', 'Status' => 'CREATING|DELETING|FAILED|IN_SERVICE|UPDATING', ], 'MaxResults' => <integer>, 'NextToken' => '<string>', ]);
Parameter Details
Members
- Filter
-
- Type: EndpointFilter structure
Filters the endpoints that are returned. You can filter endpoints on their name, model, status, or the date and time that they were created. You can only set one filter at a time.
- MaxResults
-
- Type: int
The maximum number of results to return in each page. The default is 100.
- NextToken
-
- Type: string
Identifies the next page of results to return.
Result Syntax
[ 'EndpointPropertiesList' => [ [ 'CreationTime' => <DateTime>, 'CurrentInferenceUnits' => <integer>, 'DataAccessRoleArn' => '<string>', 'DesiredDataAccessRoleArn' => '<string>', 'DesiredInferenceUnits' => <integer>, 'DesiredModelArn' => '<string>', 'EndpointArn' => '<string>', 'FlywheelArn' => '<string>', 'LastModifiedTime' => <DateTime>, 'Message' => '<string>', 'ModelArn' => '<string>', 'Status' => 'CREATING|DELETING|FAILED|IN_SERVICE|UPDATING', ], // ... ], 'NextToken' => '<string>', ]
Result Details
Members
- EndpointPropertiesList
-
- Type: Array of EndpointProperties structures
Displays a list of endpoint properties being retrieved by the service in response to the request.
- NextToken
-
- Type: string
Identifies the next page of results to return.
Errors
- InvalidRequestException:
The request is invalid.
- TooManyRequestsException:
The number of requests exceeds the limit. Resubmit your request later.
- InternalServerException:
An internal server error occurred. Retry your request.
ListEntitiesDetectionJobs
$result = $client->listEntitiesDetectionJobs
([/* ... */]); $promise = $client->listEntitiesDetectionJobsAsync
([/* ... */]);
Gets a list of the entity detection jobs that you have submitted.
Parameter Syntax
$result = $client->listEntitiesDetectionJobs([ 'Filter' => [ 'JobName' => '<string>', 'JobStatus' => 'SUBMITTED|IN_PROGRESS|COMPLETED|FAILED|STOP_REQUESTED|STOPPED', 'SubmitTimeAfter' => <integer || string || DateTime>, 'SubmitTimeBefore' => <integer || string || DateTime>, ], 'MaxResults' => <integer>, 'NextToken' => '<string>', ]);
Parameter Details
Members
- Filter
-
- Type: EntitiesDetectionJobFilter structure
Filters the jobs that are returned. You can filter jobs on their name, status, or the date and time that they were submitted. You can only set one filter at a time.
- MaxResults
-
- Type: int
The maximum number of results to return in each page. The default is 100.
- NextToken
-
- Type: string
Identifies the next page of results to return.
Result Syntax
[ 'EntitiesDetectionJobPropertiesList' => [ [ 'DataAccessRoleArn' => '<string>', 'EndTime' => <DateTime>, 'EntityRecognizerArn' => '<string>', 'FlywheelArn' => '<string>', 'InputDataConfig' => [ 'DocumentReaderConfig' => [ 'DocumentReadAction' => 'TEXTRACT_DETECT_DOCUMENT_TEXT|TEXTRACT_ANALYZE_DOCUMENT', 'DocumentReadMode' => 'SERVICE_DEFAULT|FORCE_DOCUMENT_READ_ACTION', 'FeatureTypes' => ['<string>', ...], ], 'InputFormat' => 'ONE_DOC_PER_FILE|ONE_DOC_PER_LINE', 'S3Uri' => '<string>', ], 'JobArn' => '<string>', 'JobId' => '<string>', 'JobName' => '<string>', 'JobStatus' => 'SUBMITTED|IN_PROGRESS|COMPLETED|FAILED|STOP_REQUESTED|STOPPED', 'LanguageCode' => 'en|es|fr|de|it|pt|ar|hi|ja|ko|zh|zh-TW', 'Message' => '<string>', 'OutputDataConfig' => [ 'KmsKeyId' => '<string>', 'S3Uri' => '<string>', ], 'SubmitTime' => <DateTime>, 'VolumeKmsKeyId' => '<string>', 'VpcConfig' => [ 'SecurityGroupIds' => ['<string>', ...], 'Subnets' => ['<string>', ...], ], ], // ... ], 'NextToken' => '<string>', ]
Result Details
Members
- EntitiesDetectionJobPropertiesList
-
- Type: Array of EntitiesDetectionJobProperties structures
A list containing the properties of each job that is returned.
- NextToken
-
- Type: string
Identifies the next page of results to return.
Errors
- InvalidRequestException:
The request is invalid.
- TooManyRequestsException:
The number of requests exceeds the limit. Resubmit your request later.
- InvalidFilterException:
The filter specified for the operation is invalid. Specify a different filter.
- InternalServerException:
An internal server error occurred. Retry your request.
ListEntityRecognizerSummaries
$result = $client->listEntityRecognizerSummaries
([/* ... */]); $promise = $client->listEntityRecognizerSummariesAsync
([/* ... */]);
Gets a list of summaries for the entity recognizers that you have created.
Parameter Syntax
$result = $client->listEntityRecognizerSummaries([ 'MaxResults' => <integer>, 'NextToken' => '<string>', ]);
Parameter Details
Members
- MaxResults
-
- Type: int
The maximum number of results to return on each page. The default is 100.
- NextToken
-
- Type: string
Identifies the next page of results to return.
Result Syntax
[ 'EntityRecognizerSummariesList' => [ [ 'LatestVersionCreatedAt' => <DateTime>, 'LatestVersionName' => '<string>', 'LatestVersionStatus' => 'SUBMITTED|TRAINING|DELETING|STOP_REQUESTED|STOPPED|IN_ERROR|TRAINED|TRAINED_WITH_WARNING', 'NumberOfVersions' => <integer>, 'RecognizerName' => '<string>', ], // ... ], 'NextToken' => '<string>', ]
Result Details
Members
- EntityRecognizerSummariesList
-
- Type: Array of EntityRecognizerSummary structures
The list entity recognizer summaries.
- NextToken
-
- Type: string
Identifies the next page of results to return.
Errors
- InvalidRequestException:
The request is invalid.
- TooManyRequestsException:
The number of requests exceeds the limit. Resubmit your request later.
- InternalServerException:
An internal server error occurred. Retry your request.
ListEntityRecognizers
$result = $client->listEntityRecognizers
([/* ... */]); $promise = $client->listEntityRecognizersAsync
([/* ... */]);
Gets a list of the properties of all entity recognizers that you created, including recognizers currently in training. Allows you to filter the list of recognizers based on criteria such as status and submission time. This call returns up to 500 entity recognizers in the list, with a default number of 100 recognizers in the list.
The results of this list are not in any particular order. Please get the list and sort locally if needed.
Parameter Syntax
$result = $client->listEntityRecognizers([ 'Filter' => [ 'RecognizerName' => '<string>', 'Status' => 'SUBMITTED|TRAINING|DELETING|STOP_REQUESTED|STOPPED|IN_ERROR|TRAINED|TRAINED_WITH_WARNING', 'SubmitTimeAfter' => <integer || string || DateTime>, 'SubmitTimeBefore' => <integer || string || DateTime>, ], 'MaxResults' => <integer>, 'NextToken' => '<string>', ]);
Parameter Details
Members
- Filter
-
- Type: EntityRecognizerFilter structure
Filters the list of entities returned. You can filter on
Status
,SubmitTimeBefore
, orSubmitTimeAfter
. You can only set one filter at a time. - MaxResults
-
- Type: int
The maximum number of results to return on each page. The default is 100.
- NextToken
-
- Type: string
Identifies the next page of results to return.
Result Syntax
[ 'EntityRecognizerPropertiesList' => [ [ 'DataAccessRoleArn' => '<string>', 'EndTime' => <DateTime>, 'EntityRecognizerArn' => '<string>', 'FlywheelArn' => '<string>', 'InputDataConfig' => [ 'Annotations' => [ 'S3Uri' => '<string>', 'TestS3Uri' => '<string>', ], 'AugmentedManifests' => [ [ 'AnnotationDataS3Uri' => '<string>', 'AttributeNames' => ['<string>', ...], 'DocumentType' => 'PLAIN_TEXT_DOCUMENT|SEMI_STRUCTURED_DOCUMENT', 'S3Uri' => '<string>', 'SourceDocumentsS3Uri' => '<string>', 'Split' => 'TRAIN|TEST', ], // ... ], 'DataFormat' => 'COMPREHEND_CSV|AUGMENTED_MANIFEST', 'Documents' => [ 'InputFormat' => 'ONE_DOC_PER_FILE|ONE_DOC_PER_LINE', 'S3Uri' => '<string>', 'TestS3Uri' => '<string>', ], 'EntityList' => [ 'S3Uri' => '<string>', ], 'EntityTypes' => [ [ 'Type' => '<string>', ], // ... ], ], 'LanguageCode' => 'en|es|fr|de|it|pt|ar|hi|ja|ko|zh|zh-TW', 'Message' => '<string>', 'ModelKmsKeyId' => '<string>', 'OutputDataConfig' => [ 'FlywheelStatsS3Prefix' => '<string>', ], 'RecognizerMetadata' => [ 'EntityTypes' => [ [ 'EvaluationMetrics' => [ 'F1Score' => <float>, 'Precision' => <float>, 'Recall' => <float>, ], 'NumberOfTrainMentions' => <integer>, 'Type' => '<string>', ], // ... ], 'EvaluationMetrics' => [ 'F1Score' => <float>, 'Precision' => <float>, 'Recall' => <float>, ], 'NumberOfTestDocuments' => <integer>, 'NumberOfTrainedDocuments' => <integer>, ], 'SourceModelArn' => '<string>', 'Status' => 'SUBMITTED|TRAINING|DELETING|STOP_REQUESTED|STOPPED|IN_ERROR|TRAINED|TRAINED_WITH_WARNING', 'SubmitTime' => <DateTime>, 'TrainingEndTime' => <DateTime>, 'TrainingStartTime' => <DateTime>, 'VersionName' => '<string>', 'VolumeKmsKeyId' => '<string>', 'VpcConfig' => [ 'SecurityGroupIds' => ['<string>', ...], 'Subnets' => ['<string>', ...], ], ], // ... ], 'NextToken' => '<string>', ]
Result Details
Members
- EntityRecognizerPropertiesList
-
- Type: Array of EntityRecognizerProperties structures
The list of properties of an entity recognizer.
- NextToken
-
- Type: string
Identifies the next page of results to return.
Errors
- InvalidRequestException:
The request is invalid.
- TooManyRequestsException:
The number of requests exceeds the limit. Resubmit your request later.
- InvalidFilterException:
The filter specified for the operation is invalid. Specify a different filter.
- InternalServerException:
An internal server error occurred. Retry your request.
ListEventsDetectionJobs
$result = $client->listEventsDetectionJobs
([/* ... */]); $promise = $client->listEventsDetectionJobsAsync
([/* ... */]);
Gets a list of the events detection jobs that you have submitted.
Parameter Syntax
$result = $client->listEventsDetectionJobs([ 'Filter' => [ 'JobName' => '<string>', 'JobStatus' => 'SUBMITTED|IN_PROGRESS|COMPLETED|FAILED|STOP_REQUESTED|STOPPED', 'SubmitTimeAfter' => <integer || string || DateTime>, 'SubmitTimeBefore' => <integer || string || DateTime>, ], 'MaxResults' => <integer>, 'NextToken' => '<string>', ]);
Parameter Details
Members
- Filter
-
- Type: EventsDetectionJobFilter structure
Filters the jobs that are returned. You can filter jobs on their name, status, or the date and time that they were submitted. You can only set one filter at a time.
- MaxResults
-
- Type: int
The maximum number of results to return in each page.
- NextToken
-
- Type: string
Identifies the next page of results to return.
Result Syntax
[ 'EventsDetectionJobPropertiesList' => [ [ 'DataAccessRoleArn' => '<string>', 'EndTime' => <DateTime>, 'InputDataConfig' => [ 'DocumentReaderConfig' => [ 'DocumentReadAction' => 'TEXTRACT_DETECT_DOCUMENT_TEXT|TEXTRACT_ANALYZE_DOCUMENT', 'DocumentReadMode' => 'SERVICE_DEFAULT|FORCE_DOCUMENT_READ_ACTION', 'FeatureTypes' => ['<string>', ...], ], 'InputFormat' => 'ONE_DOC_PER_FILE|ONE_DOC_PER_LINE', 'S3Uri' => '<string>', ], 'JobArn' => '<string>', 'JobId' => '<string>', 'JobName' => '<string>', 'JobStatus' => 'SUBMITTED|IN_PROGRESS|COMPLETED|FAILED|STOP_REQUESTED|STOPPED', 'LanguageCode' => 'en|es|fr|de|it|pt|ar|hi|ja|ko|zh|zh-TW', 'Message' => '<string>', 'OutputDataConfig' => [ 'KmsKeyId' => '<string>', 'S3Uri' => '<string>', ], 'SubmitTime' => <DateTime>, 'TargetEventTypes' => ['<string>', ...], ], // ... ], 'NextToken' => '<string>', ]
Result Details
Members
- EventsDetectionJobPropertiesList
-
- Type: Array of EventsDetectionJobProperties structures
A list containing the properties of each job that is returned.
- NextToken
-
- Type: string
Identifies the next page of results to return.
Errors
- InvalidRequestException:
The request is invalid.
- TooManyRequestsException:
The number of requests exceeds the limit. Resubmit your request later.
- InvalidFilterException:
The filter specified for the operation is invalid. Specify a different filter.
- InternalServerException:
An internal server error occurred. Retry your request.
ListFlywheelIterationHistory
$result = $client->listFlywheelIterationHistory
([/* ... */]); $promise = $client->listFlywheelIterationHistoryAsync
([/* ... */]);
Information about the history of a flywheel iteration. For more information about flywheels, see Flywheel overview in the Amazon Comprehend Developer Guide.
Parameter Syntax
$result = $client->listFlywheelIterationHistory([ 'Filter' => [ 'CreationTimeAfter' => <integer || string || DateTime>, 'CreationTimeBefore' => <integer || string || DateTime>, ], 'FlywheelArn' => '<string>', // REQUIRED 'MaxResults' => <integer>, 'NextToken' => '<string>', ]);
Parameter Details
Members
- Filter
-
- Type: FlywheelIterationFilter structure
Filter the flywheel iteration history based on creation time.
- FlywheelArn
-
- Required: Yes
- Type: string
The ARN of the flywheel.
- MaxResults
-
- Type: int
Maximum number of iteration history results to return
- NextToken
-
- Type: string
Next token
Result Syntax
[ 'FlywheelIterationPropertiesList' => [ [ 'CreationTime' => <DateTime>, 'EndTime' => <DateTime>, 'EvaluatedModelArn' => '<string>', 'EvaluatedModelMetrics' => [ 'AverageAccuracy' => <float>, 'AverageF1Score' => <float>, 'AveragePrecision' => <float>, 'AverageRecall' => <float>, ], 'EvaluationManifestS3Prefix' => '<string>', 'FlywheelArn' => '<string>', 'FlywheelIterationId' => '<string>', 'Message' => '<string>', 'Status' => 'TRAINING|EVALUATING|COMPLETED|FAILED|STOP_REQUESTED|STOPPED', 'TrainedModelArn' => '<string>', 'TrainedModelMetrics' => [ 'AverageAccuracy' => <float>, 'AverageF1Score' => <float>, 'AveragePrecision' => <float>, 'AverageRecall' => <float>, ], ], // ... ], 'NextToken' => '<string>', ]
Result Details
Members
- FlywheelIterationPropertiesList
-
- Type: Array of FlywheelIterationProperties structures
List of flywheel iteration properties
- NextToken
-
- Type: string
Next token
Errors
- InvalidRequestException:
The request is invalid.
- TooManyRequestsException:
The number of requests exceeds the limit. Resubmit your request later.
- InvalidFilterException:
The filter specified for the operation is invalid. Specify a different filter.
- ResourceNotFoundException:
The specified resource ARN was not found. Check the ARN and try your request again.
- InternalServerException:
An internal server error occurred. Retry your request.
ListFlywheels
$result = $client->listFlywheels
([/* ... */]); $promise = $client->listFlywheelsAsync
([/* ... */]);
Gets a list of the flywheels that you have created.
Parameter Syntax
$result = $client->listFlywheels([ 'Filter' => [ 'CreationTimeAfter' => <integer || string || DateTime>, 'CreationTimeBefore' => <integer || string || DateTime>, 'Status' => 'CREATING|ACTIVE|UPDATING|DELETING|FAILED', ], 'MaxResults' => <integer>, 'NextToken' => '<string>', ]);
Parameter Details
Members
- Filter
-
- Type: FlywheelFilter structure
Filters the flywheels that are returned. You can filter flywheels on their status, or the date and time that they were submitted. You can only set one filter at a time.
- MaxResults
-
- Type: int
Maximum number of results to return in a response. The default is 100.
- NextToken
-
- Type: string
Identifies the next page of results to return.
Result Syntax
[ 'FlywheelSummaryList' => [ [ 'ActiveModelArn' => '<string>', 'CreationTime' => <DateTime>, 'DataLakeS3Uri' => '<string>', 'FlywheelArn' => '<string>', 'LastModifiedTime' => <DateTime>, 'LatestFlywheelIteration' => '<string>', 'Message' => '<string>', 'ModelType' => 'DOCUMENT_CLASSIFIER|ENTITY_RECOGNIZER', 'Status' => 'CREATING|ACTIVE|UPDATING|DELETING|FAILED', ], // ... ], 'NextToken' => '<string>', ]
Result Details
Members
- FlywheelSummaryList
-
- Type: Array of FlywheelSummary structures
A list of flywheel properties retrieved by the service in response to the request.
- NextToken
-
- Type: string
Identifies the next page of results to return.
Errors
- InvalidRequestException:
The request is invalid.
- TooManyRequestsException:
The number of requests exceeds the limit. Resubmit your request later.
- InvalidFilterException:
The filter specified for the operation is invalid. Specify a different filter.
- InternalServerException:
An internal server error occurred. Retry your request.
ListKeyPhrasesDetectionJobs
$result = $client->listKeyPhrasesDetectionJobs
([/* ... */]); $promise = $client->listKeyPhrasesDetectionJobsAsync
([/* ... */]);
Get a list of key phrase detection jobs that you have submitted.
Parameter Syntax
$result = $client->listKeyPhrasesDetectionJobs([ 'Filter' => [ 'JobName' => '<string>', 'JobStatus' => 'SUBMITTED|IN_PROGRESS|COMPLETED|FAILED|STOP_REQUESTED|STOPPED', 'SubmitTimeAfter' => <integer || string || DateTime>, 'SubmitTimeBefore' => <integer || string || DateTime>, ], 'MaxResults' => <integer>, 'NextToken' => '<string>', ]);
Parameter Details
Members
- Filter
-
- Type: KeyPhrasesDetectionJobFilter structure
Filters the jobs that are returned. You can filter jobs on their name, status, or the date and time that they were submitted. You can only set one filter at a time.
- MaxResults
-
- Type: int
The maximum number of results to return in each page. The default is 100.
- NextToken
-
- Type: string
Identifies the next page of results to return.
Result Syntax
[ 'KeyPhrasesDetectionJobPropertiesList' => [ [ 'DataAccessRoleArn' => '<string>', 'EndTime' => <DateTime>, 'InputDataConfig' => [ 'DocumentReaderConfig' => [ 'DocumentReadAction' => 'TEXTRACT_DETECT_DOCUMENT_TEXT|TEXTRACT_ANALYZE_DOCUMENT', 'DocumentReadMode' => 'SERVICE_DEFAULT|FORCE_DOCUMENT_READ_ACTION', 'FeatureTypes' => ['<string>', ...], ], 'InputFormat' => 'ONE_DOC_PER_FILE|ONE_DOC_PER_LINE', 'S3Uri' => '<string>', ], 'JobArn' => '<string>', 'JobId' => '<string>', 'JobName' => '<string>', 'JobStatus' => 'SUBMITTED|IN_PROGRESS|COMPLETED|FAILED|STOP_REQUESTED|STOPPED', 'LanguageCode' => 'en|es|fr|de|it|pt|ar|hi|ja|ko|zh|zh-TW', 'Message' => '<string>', 'OutputDataConfig' => [ 'KmsKeyId' => '<string>', 'S3Uri' => '<string>', ], 'SubmitTime' => <DateTime>, 'VolumeKmsKeyId' => '<string>', 'VpcConfig' => [ 'SecurityGroupIds' => ['<string>', ...], 'Subnets' => ['<string>', ...], ], ], // ... ], 'NextToken' => '<string>', ]
Result Details
Members
- KeyPhrasesDetectionJobPropertiesList
-
- Type: Array of KeyPhrasesDetectionJobProperties structures
A list containing the properties of each job that is returned.
- NextToken
-
- Type: string
Identifies the next page of results to return.
Errors
- InvalidRequestException:
The request is invalid.
- TooManyRequestsException:
The number of requests exceeds the limit. Resubmit your request later.
- InvalidFilterException:
The filter specified for the operation is invalid. Specify a different filter.
- InternalServerException:
An internal server error occurred. Retry your request.
ListPiiEntitiesDetectionJobs
$result = $client->listPiiEntitiesDetectionJobs
([/* ... */]); $promise = $client->listPiiEntitiesDetectionJobsAsync
([/* ... */]);
Gets a list of the PII entity detection jobs that you have submitted.
Parameter Syntax
$result = $client->listPiiEntitiesDetectionJobs([ 'Filter' => [ 'JobName' => '<string>', 'JobStatus' => 'SUBMITTED|IN_PROGRESS|COMPLETED|FAILED|STOP_REQUESTED|STOPPED', 'SubmitTimeAfter' => <integer || string || DateTime>, 'SubmitTimeBefore' => <integer || string || DateTime>, ], 'MaxResults' => <integer>, 'NextToken' => '<string>', ]);
Parameter Details
Members
- Filter
-
- Type: PiiEntitiesDetectionJobFilter structure
Filters the jobs that are returned. You can filter jobs on their name, status, or the date and time that they were submitted. You can only set one filter at a time.
- MaxResults
-
- Type: int
The maximum number of results to return in each page.
- NextToken
-
- Type: string
Identifies the next page of results to return.
Result Syntax
[ 'NextToken' => '<string>', 'PiiEntitiesDetectionJobPropertiesList' => [ [ 'DataAccessRoleArn' => '<string>', 'EndTime' => <DateTime>, 'InputDataConfig' => [ 'DocumentReaderConfig' => [ 'DocumentReadAction' => 'TEXTRACT_DETECT_DOCUMENT_TEXT|TEXTRACT_ANALYZE_DOCUMENT', 'DocumentReadMode' => 'SERVICE_DEFAULT|FORCE_DOCUMENT_READ_ACTION', 'FeatureTypes' => ['<string>', ...], ], 'InputFormat' => 'ONE_DOC_PER_FILE|ONE_DOC_PER_LINE', 'S3Uri' => '<string>', ], 'JobArn' => '<string>', 'JobId' => '<string>', 'JobName' => '<string>', 'JobStatus' => 'SUBMITTED|IN_PROGRESS|COMPLETED|FAILED|STOP_REQUESTED|STOPPED', 'LanguageCode' => 'en|es|fr|de|it|pt|ar|hi|ja|ko|zh|zh-TW', 'Message' => '<string>', 'Mode' => 'ONLY_REDACTION|ONLY_OFFSETS', 'OutputDataConfig' => [ 'KmsKeyId' => '<string>', 'S3Uri' => '<string>', ], 'RedactionConfig' => [ 'MaskCharacter' => '<string>', 'MaskMode' => 'MASK|REPLACE_WITH_PII_ENTITY_TYPE', 'PiiEntityTypes' => ['<string>', ...], ], 'SubmitTime' => <DateTime>, ], // ... ], ]
Result Details
Members
- NextToken
-
- Type: string
Identifies the next page of results to return.
- PiiEntitiesDetectionJobPropertiesList
-
- Type: Array of PiiEntitiesDetectionJobProperties structures
A list containing the properties of each job that is returned.
Errors
- InvalidRequestException:
The request is invalid.
- TooManyRequestsException:
The number of requests exceeds the limit. Resubmit your request later.
- InvalidFilterException:
The filter specified for the operation is invalid. Specify a different filter.
- InternalServerException:
An internal server error occurred. Retry your request.
ListSentimentDetectionJobs
$result = $client->listSentimentDetectionJobs
([/* ... */]); $promise = $client->listSentimentDetectionJobsAsync
([/* ... */]);
Gets a list of sentiment detection jobs that you have submitted.
Parameter Syntax
$result = $client->listSentimentDetectionJobs([ 'Filter' => [ 'JobName' => '<string>', 'JobStatus' => 'SUBMITTED|IN_PROGRESS|COMPLETED|FAILED|STOP_REQUESTED|STOPPED', 'SubmitTimeAfter' => <integer || string || DateTime>, 'SubmitTimeBefore' => <integer || string || DateTime>, ], 'MaxResults' => <integer>, 'NextToken' => '<string>', ]);
Parameter Details
Members
- Filter
-
- Type: SentimentDetectionJobFilter structure
Filters the jobs that are returned. You can filter jobs on their name, status, or the date and time that they were submitted. You can only set one filter at a time.
- MaxResults
-
- Type: int
The maximum number of results to return in each page. The default is 100.
- NextToken
-
- Type: string
Identifies the next page of results to return.
Result Syntax
[ 'NextToken' => '<string>', 'SentimentDetectionJobPropertiesList' => [ [ 'DataAccessRoleArn' => '<string>', 'EndTime' => <DateTime>, 'InputDataConfig' => [ 'DocumentReaderConfig' => [ 'DocumentReadAction' => 'TEXTRACT_DETECT_DOCUMENT_TEXT|TEXTRACT_ANALYZE_DOCUMENT', 'DocumentReadMode' => 'SERVICE_DEFAULT|FORCE_DOCUMENT_READ_ACTION', 'FeatureTypes' => ['<string>', ...], ], 'InputFormat' => 'ONE_DOC_PER_FILE|ONE_DOC_PER_LINE', 'S3Uri' => '<string>', ], 'JobArn' => '<string>', 'JobId' => '<string>', 'JobName' => '<string>', 'JobStatus' => 'SUBMITTED|IN_PROGRESS|COMPLETED|FAILED|STOP_REQUESTED|STOPPED', 'LanguageCode' => 'en|es|fr|de|it|pt|ar|hi|ja|ko|zh|zh-TW', 'Message' => '<string>', 'OutputDataConfig' => [ 'KmsKeyId' => '<string>', 'S3Uri' => '<string>', ], 'SubmitTime' => <DateTime>, 'VolumeKmsKeyId' => '<string>', 'VpcConfig' => [ 'SecurityGroupIds' => ['<string>', ...], 'Subnets' => ['<string>', ...], ], ], // ... ], ]
Result Details
Members
- NextToken
-
- Type: string
Identifies the next page of results to return.
- SentimentDetectionJobPropertiesList
-
- Type: Array of SentimentDetectionJobProperties structures
A list containing the properties of each job that is returned.
Errors
- InvalidRequestException:
The request is invalid.
- TooManyRequestsException:
The number of requests exceeds the limit. Resubmit your request later.
- InvalidFilterException:
The filter specified for the operation is invalid. Specify a different filter.
- InternalServerException:
An internal server error occurred. Retry your request.
ListTagsForResource
$result = $client->listTagsForResource
([/* ... */]); $promise = $client->listTagsForResourceAsync
([/* ... */]);
Lists all tags associated with a given Amazon Comprehend resource.
Parameter Syntax
$result = $client->listTagsForResource([ 'ResourceArn' => '<string>', // REQUIRED ]);
Parameter Details
Members
- ResourceArn
-
- Required: Yes
- Type: string
The Amazon Resource Name (ARN) of the given Amazon Comprehend resource you are querying.
Result Syntax
[ 'ResourceArn' => '<string>', 'Tags' => [ [ 'Key' => '<string>', 'Value' => '<string>', ], // ... ], ]
Result Details
Members
- ResourceArn
-
- Type: string
The Amazon Resource Name (ARN) of the given Amazon Comprehend resource you are querying.
- Tags
-
- Type: Array of Tag structures
Tags associated with the Amazon Comprehend resource being queried. A tag is a key-value pair that adds as a metadata to a resource used by Amazon Comprehend. For example, a tag with "Sales" as the key might be added to a resource to indicate its use by the sales department.
Errors
- InvalidRequestException:
The request is invalid.
- ResourceNotFoundException:
The specified resource ARN was not found. Check the ARN and try your request again.
- InternalServerException:
An internal server error occurred. Retry your request.
ListTargetedSentimentDetectionJobs
$result = $client->listTargetedSentimentDetectionJobs
([/* ... */]); $promise = $client->listTargetedSentimentDetectionJobsAsync
([/* ... */]);
Gets a list of targeted sentiment detection jobs that you have submitted.
Parameter Syntax
$result = $client->listTargetedSentimentDetectionJobs([ 'Filter' => [ 'JobName' => '<string>', 'JobStatus' => 'SUBMITTED|IN_PROGRESS|COMPLETED|FAILED|STOP_REQUESTED|STOPPED', 'SubmitTimeAfter' => <integer || string || DateTime>, 'SubmitTimeBefore' => <integer || string || DateTime>, ], 'MaxResults' => <integer>, 'NextToken' => '<string>', ]);
Parameter Details
Members
- Filter
-
- Type: TargetedSentimentDetectionJobFilter structure
Filters the jobs that are returned. You can filter jobs on their name, status, or the date and time that they were submitted. You can only set one filter at a time.
- MaxResults
-
- Type: int
The maximum number of results to return in each page. The default is 100.
- NextToken
-
- Type: string
Identifies the next page of results to return.
Result Syntax
[ 'NextToken' => '<string>', 'TargetedSentimentDetectionJobPropertiesList' => [ [ 'DataAccessRoleArn' => '<string>', 'EndTime' => <DateTime>, 'InputDataConfig' => [ 'DocumentReaderConfig' => [ 'DocumentReadAction' => 'TEXTRACT_DETECT_DOCUMENT_TEXT|TEXTRACT_ANALYZE_DOCUMENT', 'DocumentReadMode' => 'SERVICE_DEFAULT|FORCE_DOCUMENT_READ_ACTION', 'FeatureTypes' => ['<string>', ...], ], 'InputFormat' => 'ONE_DOC_PER_FILE|ONE_DOC_PER_LINE', 'S3Uri' => '<string>', ], 'JobArn' => '<string>', 'JobId' => '<string>', 'JobName' => '<string>', 'JobStatus' => 'SUBMITTED|IN_PROGRESS|COMPLETED|FAILED|STOP_REQUESTED|STOPPED', 'LanguageCode' => 'en|es|fr|de|it|pt|ar|hi|ja|ko|zh|zh-TW', 'Message' => '<string>', 'OutputDataConfig' => [ 'KmsKeyId' => '<string>', 'S3Uri' => '<string>', ], 'SubmitTime' => <DateTime>, 'VolumeKmsKeyId' => '<string>', 'VpcConfig' => [ 'SecurityGroupIds' => ['<string>', ...], 'Subnets' => ['<string>', ...], ], ], // ... ], ]
Result Details
Members
- NextToken
-
- Type: string
Identifies the next page of results to return.
- TargetedSentimentDetectionJobPropertiesList
-
- Type: Array of TargetedSentimentDetectionJobProperties structures
A list containing the properties of each job that is returned.
Errors
- InvalidRequestException:
The request is invalid.
- TooManyRequestsException:
The number of requests exceeds the limit. Resubmit your request later.
- InvalidFilterException:
The filter specified for the operation is invalid. Specify a different filter.
- InternalServerException:
An internal server error occurred. Retry your request.
ListTopicsDetectionJobs
$result = $client->listTopicsDetectionJobs
([/* ... */]); $promise = $client->listTopicsDetectionJobsAsync
([/* ... */]);
Gets a list of the topic detection jobs that you have submitted.
Parameter Syntax
$result = $client->listTopicsDetectionJobs([ 'Filter' => [ 'JobName' => '<string>', 'JobStatus' => 'SUBMITTED|IN_PROGRESS|COMPLETED|FAILED|STOP_REQUESTED|STOPPED', 'SubmitTimeAfter' => <integer || string || DateTime>, 'SubmitTimeBefore' => <integer || string || DateTime>, ], 'MaxResults' => <integer>, 'NextToken' => '<string>', ]);
Parameter Details
Members
- Filter
-
- Type: TopicsDetectionJobFilter structure
Filters the jobs that are returned. Jobs can be filtered on their name, status, or the date and time that they were submitted. You can set only one filter at a time.
- MaxResults
-
- Type: int
The maximum number of results to return in each page. The default is 100.
- NextToken
-
- Type: string
Identifies the next page of results to return.
Result Syntax
[ 'NextToken' => '<string>', 'TopicsDetectionJobPropertiesList' => [ [ 'DataAccessRoleArn' => '<string>', 'EndTime' => <DateTime>, 'InputDataConfig' => [ 'DocumentReaderConfig' => [ 'DocumentReadAction' => 'TEXTRACT_DETECT_DOCUMENT_TEXT|TEXTRACT_ANALYZE_DOCUMENT', 'DocumentReadMode' => 'SERVICE_DEFAULT|FORCE_DOCUMENT_READ_ACTION', 'FeatureTypes' => ['<string>', ...], ], 'InputFormat' => 'ONE_DOC_PER_FILE|ONE_DOC_PER_LINE', 'S3Uri' => '<string>', ], 'JobArn' => '<string>', 'JobId' => '<string>', 'JobName' => '<string>', 'JobStatus' => 'SUBMITTED|IN_PROGRESS|COMPLETED|FAILED|STOP_REQUESTED|STOPPED', 'Message' => '<string>', 'NumberOfTopics' => <integer>, 'OutputDataConfig' => [ 'KmsKeyId' => '<string>', 'S3Uri' => '<string>', ], 'SubmitTime' => <DateTime>, 'VolumeKmsKeyId' => '<string>', 'VpcConfig' => [ 'SecurityGroupIds' => ['<string>', ...], 'Subnets' => ['<string>', ...], ], ], // ... ], ]
Result Details
Members
- NextToken
-
- Type: string
Identifies the next page of results to return.
- TopicsDetectionJobPropertiesList
-
- Type: Array of TopicsDetectionJobProperties structures
A list containing the properties of each job that is returned.
Errors
- InvalidRequestException:
The request is invalid.
- TooManyRequestsException:
The number of requests exceeds the limit. Resubmit your request later.
- InvalidFilterException:
The filter specified for the operation is invalid. Specify a different filter.
- InternalServerException:
An internal server error occurred. Retry your request.
PutResourcePolicy
$result = $client->putResourcePolicy
([/* ... */]); $promise = $client->putResourcePolicyAsync
([/* ... */]);
Attaches a resource-based policy to a custom model. You can use this policy to authorize an entity in another Amazon Web Services account to import the custom model, which replicates it in Amazon Comprehend in their account.
Parameter Syntax
$result = $client->putResourcePolicy([ 'PolicyRevisionId' => '<string>', 'ResourceArn' => '<string>', // REQUIRED 'ResourcePolicy' => '<string>', // REQUIRED ]);
Parameter Details
Members
- PolicyRevisionId
-
- Type: string
The revision ID that Amazon Comprehend assigned to the policy that you are updating. If you are creating a new policy that has no prior version, don't use this parameter. Amazon Comprehend creates the revision ID for you.
- ResourceArn
-
- Required: Yes
- Type: string
The Amazon Resource Name (ARN) of the custom model to attach the policy to.
- ResourcePolicy
-
- Required: Yes
- Type: string
The JSON resource-based policy to attach to your custom model. Provide your JSON as a UTF-8 encoded string without line breaks. To provide valid JSON for your policy, enclose the attribute names and values in double quotes. If the JSON body is also enclosed in double quotes, then you must escape the double quotes that are inside the policy:
"{\"attribute\": \"value\", \"attribute\": [\"value\"]}"
To avoid escaping quotes, you can use single quotes to enclose the policy and double quotes to enclose the JSON names and values:
'{"attribute": "value", "attribute": ["value"]}'
Result Syntax
[ 'PolicyRevisionId' => '<string>', ]
Result Details
Members
- PolicyRevisionId
-
- Type: string
The revision ID of the policy. Each time you modify a policy, Amazon Comprehend assigns a new revision ID, and it deletes the prior version of the policy.
Errors
- InvalidRequestException:
The request is invalid.
- ResourceNotFoundException:
The specified resource ARN was not found. Check the ARN and try your request again.
- InternalServerException:
An internal server error occurred. Retry your request.
StartDocumentClassificationJob
$result = $client->startDocumentClassificationJob
([/* ... */]); $promise = $client->startDocumentClassificationJobAsync
([/* ... */]);
Starts an asynchronous document classification job using a custom classification model. Use the DescribeDocumentClassificationJob
operation to track the progress of the job.
Parameter Syntax
$result = $client->startDocumentClassificationJob([ 'ClientRequestToken' => '<string>', 'DataAccessRoleArn' => '<string>', // REQUIRED 'DocumentClassifierArn' => '<string>', 'FlywheelArn' => '<string>', 'InputDataConfig' => [ // REQUIRED 'DocumentReaderConfig' => [ 'DocumentReadAction' => 'TEXTRACT_DETECT_DOCUMENT_TEXT|TEXTRACT_ANALYZE_DOCUMENT', // REQUIRED 'DocumentReadMode' => 'SERVICE_DEFAULT|FORCE_DOCUMENT_READ_ACTION', 'FeatureTypes' => ['<string>', ...], ], 'InputFormat' => 'ONE_DOC_PER_FILE|ONE_DOC_PER_LINE', 'S3Uri' => '<string>', // REQUIRED ], 'JobName' => '<string>', 'OutputDataConfig' => [ // REQUIRED 'KmsKeyId' => '<string>', 'S3Uri' => '<string>', // REQUIRED ], 'Tags' => [ [ 'Key' => '<string>', // REQUIRED 'Value' => '<string>', ], // ... ], 'VolumeKmsKeyId' => '<string>', 'VpcConfig' => [ 'SecurityGroupIds' => ['<string>', ...], // REQUIRED 'Subnets' => ['<string>', ...], // REQUIRED ], ]);
Parameter Details
Members
- ClientRequestToken
-
- Type: string
A unique identifier for the request. If you do not set the client request token, Amazon Comprehend generates one.
- DataAccessRoleArn
-
- Required: Yes
- Type: string
The Amazon Resource Name (ARN) of the IAM role that grants Amazon Comprehend read access to your input data.
- DocumentClassifierArn
-
- Type: string
The Amazon Resource Name (ARN) of the document classifier to use to process the job.
- FlywheelArn
-
- Type: string
The Amazon Resource Number (ARN) of the flywheel associated with the model to use.
- InputDataConfig
-
- Required: Yes
- Type: InputDataConfig structure
Specifies the format and location of the input data for the job.
- JobName
-
- Type: string
The identifier of the job.
- OutputDataConfig
-
- Required: Yes
- Type: OutputDataConfig structure
Specifies where to send the output files.
- Tags
-
- Type: Array of Tag structures
Tags to associate with the document classification job. A tag is a key-value pair that adds metadata to a resource used by Amazon Comprehend. For example, a tag with "Sales" as the key might be added to a resource to indicate its use by the sales department.
- VolumeKmsKeyId
-
- Type: string
ID for the Amazon Web Services Key Management Service (KMS) key that Amazon Comprehend uses to encrypt data on the storage volume attached to the ML compute instance(s) that process the analysis job. The VolumeKmsKeyId can be either of the following formats:
-
KMS Key ID:
"1234abcd-12ab-34cd-56ef-1234567890ab"
-
Amazon Resource Name (ARN) of a KMS Key:
"arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab"
- VpcConfig
-
- Type: VpcConfig structure
Configuration parameters for an optional private Virtual Private Cloud (VPC) containing the resources you are using for your document classification job. For more information, see Amazon VPC.
Result Syntax
[ 'DocumentClassifierArn' => '<string>', 'JobArn' => '<string>', 'JobId' => '<string>', 'JobStatus' => 'SUBMITTED|IN_PROGRESS|COMPLETED|FAILED|STOP_REQUESTED|STOPPED', ]
Result Details
Members
- DocumentClassifierArn
-
- Type: string
The ARN of the custom classification model.
- JobArn
-
- Type: string
The Amazon Resource Name (ARN) of the document classification job. It is a unique, fully qualified identifier for the job. It includes the Amazon Web Services account, Amazon Web Services Region, and the job ID. The format of the ARN is as follows:
arn:<partition>:comprehend:<region>:<account-id>:document-classification-job/<job-id>
The following is an example job ARN:
arn:aws:comprehend:us-west-2:111122223333:document-classification-job/1234abcd12ab34cd56ef1234567890ab
- JobId
-
- Type: string
The identifier generated for the job. To get the status of the job, use this identifier with the
DescribeDocumentClassificationJob
operation. - JobStatus
-
- Type: string
The status of the job:
-
SUBMITTED - The job has been received and queued for processing.
-
IN_PROGRESS - Amazon Comprehend is processing the job.
-
COMPLETED - The job was successfully completed and the output is available.
-
FAILED - The job did not complete. For details, use the
DescribeDocumentClassificationJob
operation. -
STOP_REQUESTED - Amazon Comprehend has received a stop request for the job and is processing the request.
-
STOPPED - The job was successfully stopped without completing.
Errors
- InvalidRequestException:
The request is invalid.
- TooManyRequestsException:
The number of requests exceeds the limit. Resubmit your request later.
- ResourceNotFoundException:
The specified resource ARN was not found. Check the ARN and try your request again.
- ResourceUnavailableException:
The specified resource is not available. Check the resource and try your request again.
- KmsKeyValidationException:
The KMS customer managed key (CMK) entered cannot be validated. Verify the key and re-enter it.
- TooManyTagsException:
The request contains more tags than can be associated with a resource (50 tags per resource). The maximum number of tags includes both existing tags and those included in your current request.
- ResourceInUseException:
The specified resource name is already in use. Use a different name and try your request again.
- InternalServerException:
An internal server error occurred. Retry your request.
StartDominantLanguageDetectionJob
$result = $client->startDominantLanguageDetectionJob
([/* ... */]); $promise = $client->startDominantLanguageDetectionJobAsync
([/* ... */]);
Starts an asynchronous dominant language detection job for a collection of documents. Use the operation to track the status of a job.
Parameter Syntax
$result = $client->startDominantLanguageDetectionJob([ 'ClientRequestToken' => '<string>', 'DataAccessRoleArn' => '<string>', // REQUIRED 'InputDataConfig' => [ // REQUIRED 'DocumentReaderConfig' => [ 'DocumentReadAction' => 'TEXTRACT_DETECT_DOCUMENT_TEXT|TEXTRACT_ANALYZE_DOCUMENT', // REQUIRED 'DocumentReadMode' => 'SERVICE_DEFAULT|FORCE_DOCUMENT_READ_ACTION', 'FeatureTypes' => ['<string>', ...], ], 'InputFormat' => 'ONE_DOC_PER_FILE|ONE_DOC_PER_LINE', 'S3Uri' => '<string>', // REQUIRED ], 'JobName' => '<string>', 'OutputDataConfig' => [ // REQUIRED 'KmsKeyId' => '<string>', 'S3Uri' => '<string>', // REQUIRED ], 'Tags' => [ [ 'Key' => '<string>', // REQUIRED 'Value' => '<string>', ], // ... ], 'VolumeKmsKeyId' => '<string>', 'VpcConfig' => [ 'SecurityGroupIds' => ['<string>', ...], // REQUIRED 'Subnets' => ['<string>', ...], // REQUIRED ], ]);
Parameter Details
Members
- ClientRequestToken
-
- Type: string
A unique identifier for the request. If you do not set the client request token, Amazon Comprehend generates one.
- DataAccessRoleArn
-
- Required: Yes
- Type: string
The Amazon Resource Name (ARN) of the IAM role that grants Amazon Comprehend read access to your input data. For more information, see Role-based permissions.
- InputDataConfig
-
- Required: Yes
- Type: InputDataConfig structure
Specifies the format and location of the input data for the job.
- JobName
-
- Type: string
An identifier for the job.
- OutputDataConfig
-
- Required: Yes
- Type: OutputDataConfig structure
Specifies where to send the output files.
- Tags
-
- Type: Array of Tag structures
Tags to associate with the dominant language detection job. A tag is a key-value pair that adds metadata to a resource used by Amazon Comprehend. For example, a tag with "Sales" as the key might be added to a resource to indicate its use by the sales department.
- VolumeKmsKeyId
-
- Type: string
ID for the Amazon Web Services Key Management Service (KMS) key that Amazon Comprehend uses to encrypt data on the storage volume attached to the ML compute instance(s) that process the analysis job. The VolumeKmsKeyId can be either of the following formats:
-
KMS Key ID:
"1234abcd-12ab-34cd-56ef-1234567890ab"
-
Amazon Resource Name (ARN) of a KMS Key:
"arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab"
- VpcConfig
-
- Type: VpcConfig structure
Configuration parameters for an optional private Virtual Private Cloud (VPC) containing the resources you are using for your dominant language detection job. For more information, see Amazon VPC.
Result Syntax
[ 'JobArn' => '<string>', 'JobId' => '<string>', 'JobStatus' => 'SUBMITTED|IN_PROGRESS|COMPLETED|FAILED|STOP_REQUESTED|STOPPED', ]
Result Details
Members
- JobArn
-
- Type: string
The Amazon Resource Name (ARN) of the dominant language detection job. It is a unique, fully qualified identifier for the job. It includes the Amazon Web Services account, Amazon Web Services Region, and the job ID. The format of the ARN is as follows:
arn:<partition>:comprehend:<region>:<account-id>:dominant-language-detection-job/<job-id>
The following is an example job ARN:
arn:aws:comprehend:us-west-2:111122223333:dominant-language-detection-job/1234abcd12ab34cd56ef1234567890ab
- JobId
-
- Type: string
The identifier generated for the job. To get the status of a job, use this identifier with the operation.
- JobStatus
-
- Type: string
The status of the job.
-
SUBMITTED - The job has been received and is queued for processing.
-
IN_PROGRESS - Amazon Comprehend is processing the job.
-
COMPLETED - The job was successfully completed and the output is available.
-
FAILED - The job did not complete. To get details, use the operation.
Errors
- InvalidRequestException:
The request is invalid.
- TooManyRequestsException:
The number of requests exceeds the limit. Resubmit your request later.
- KmsKeyValidationException:
The KMS customer managed key (CMK) entered cannot be validated. Verify the key and re-enter it.
- TooManyTagsException:
The request contains more tags than can be associated with a resource (50 tags per resource). The maximum number of tags includes both existing tags and those included in your current request.
- ResourceInUseException:
The specified resource name is already in use. Use a different name and try your request again.
- InternalServerException:
An internal server error occurred. Retry your request.
StartEntitiesDetectionJob
$result = $client->startEntitiesDetectionJob
([/* ... */]); $promise = $client->startEntitiesDetectionJobAsync
([/* ... */]);
Starts an asynchronous entity detection job for a collection of documents. Use the operation to track the status of a job.
This API can be used for either standard entity detection or custom entity recognition. In order to be used for custom entity recognition, the optional EntityRecognizerArn
must be used in order to provide access to the recognizer being used to detect the custom entity.
Parameter Syntax
$result = $client->startEntitiesDetectionJob([ 'ClientRequestToken' => '<string>', 'DataAccessRoleArn' => '<string>', // REQUIRED 'EntityRecognizerArn' => '<string>', 'FlywheelArn' => '<string>', 'InputDataConfig' => [ // REQUIRED 'DocumentReaderConfig' => [ 'DocumentReadAction' => 'TEXTRACT_DETECT_DOCUMENT_TEXT|TEXTRACT_ANALYZE_DOCUMENT', // REQUIRED 'DocumentReadMode' => 'SERVICE_DEFAULT|FORCE_DOCUMENT_READ_ACTION', 'FeatureTypes' => ['<string>', ...], ], 'InputFormat' => 'ONE_DOC_PER_FILE|ONE_DOC_PER_LINE', 'S3Uri' => '<string>', // REQUIRED ], 'JobName' => '<string>', 'LanguageCode' => 'en|es|fr|de|it|pt|ar|hi|ja|ko|zh|zh-TW', // REQUIRED 'OutputDataConfig' => [ // REQUIRED 'KmsKeyId' => '<string>', 'S3Uri' => '<string>', // REQUIRED ], 'Tags' => [ [ 'Key' => '<string>', // REQUIRED 'Value' => '<string>', ], // ... ], 'VolumeKmsKeyId' => '<string>', 'VpcConfig' => [ 'SecurityGroupIds' => ['<string>', ...], // REQUIRED 'Subnets' => ['<string>', ...], // REQUIRED ], ]);
Parameter Details
Members
- ClientRequestToken
-
- Type: string
A unique identifier for the request. If you don't set the client request token, Amazon Comprehend generates one.
- DataAccessRoleArn
-
- Required: Yes
- Type: string
The Amazon Resource Name (ARN) of the IAM role that grants Amazon Comprehend read access to your input data. For more information, see Role-based permissions.
- EntityRecognizerArn
-
- Type: string
The Amazon Resource Name (ARN) that identifies the specific entity recognizer to be used by the
StartEntitiesDetectionJob
. This ARN is optional and is only used for a custom entity recognition job. - FlywheelArn
-
- Type: string
The Amazon Resource Number (ARN) of the flywheel associated with the model to use.
- InputDataConfig
-
- Required: Yes
- Type: InputDataConfig structure
Specifies the format and location of the input data for the job.
- JobName
-
- Type: string
The identifier of the job.
- LanguageCode
-
- Required: Yes
- Type: string
The language of the input documents. All documents must be in the same language. You can specify any of the languages supported by Amazon Comprehend. If custom entities recognition is used, this parameter is ignored and the language used for training the model is used instead.
- OutputDataConfig
-
- Required: Yes
- Type: OutputDataConfig structure
Specifies where to send the output files.
- Tags
-
- Type: Array of Tag structures
Tags to associate with the entities detection job. A tag is a key-value pair that adds metadata to a resource used by Amazon Comprehend. For example, a tag with "Sales" as the key might be added to a resource to indicate its use by the sales department.
- VolumeKmsKeyId
-
- Type: string
ID for the Amazon Web Services Key Management Service (KMS) key that Amazon Comprehend uses to encrypt data on the storage volume attached to the ML compute instance(s) that process the analysis job. The VolumeKmsKeyId can be either of the following formats:
-
KMS Key ID:
"1234abcd-12ab-34cd-56ef-1234567890ab"
-
Amazon Resource Name (ARN) of a KMS Key:
"arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab"
- VpcConfig
-
- Type: VpcConfig structure
Configuration parameters for an optional private Virtual Private Cloud (VPC) containing the resources you are using for your entity detection job. For more information, see Amazon VPC.
Result Syntax
[ 'EntityRecognizerArn' => '<string>', 'JobArn' => '<string>', 'JobId' => '<string>', 'JobStatus' => 'SUBMITTED|IN_PROGRESS|COMPLETED|FAILED|STOP_REQUESTED|STOPPED', ]
Result Details
Members
- EntityRecognizerArn
-
- Type: string
The ARN of the custom entity recognition model.
- JobArn
-
- Type: string
The Amazon Resource Name (ARN) of the entities detection job. It is a unique, fully qualified identifier for the job. It includes the Amazon Web Services account, Amazon Web Services Region, and the job ID. The format of the ARN is as follows:
arn:<partition>:comprehend:<region>:<account-id>:entities-detection-job/<job-id>
The following is an example job ARN:
arn:aws:comprehend:us-west-2:111122223333:entities-detection-job/1234abcd12ab34cd56ef1234567890ab
- JobId
-
- Type: string
The identifier generated for the job. To get the status of job, use this identifier with the operation.
- JobStatus
-
- Type: string
The status of the job.
-
SUBMITTED - The job has been received and is queued for processing.
-
IN_PROGRESS - Amazon Comprehend is processing the job.
-
COMPLETED - The job was successfully completed and the output is available.
-
FAILED - The job did not complete. To get details, use the operation.
-
STOP_REQUESTED - Amazon Comprehend has received a stop request for the job and is processing the request.
-
STOPPED - The job was successfully stopped without completing.
Errors
- InvalidRequestException:
The request is invalid.
- TooManyRequestsException:
The number of requests exceeds the limit. Resubmit your request later.
- ResourceNotFoundException:
The specified resource ARN was not found. Check the ARN and try your request again.
- ResourceUnavailableException:
The specified resource is not available. Check the resource and try your request again.
- KmsKeyValidationException:
The KMS customer managed key (CMK) entered cannot be validated. Verify the key and re-enter it.
- TooManyTagsException:
The request contains more tags than can be associated with a resource (50 tags per resource). The maximum number of tags includes both existing tags and those included in your current request.
- ResourceInUseException:
The specified resource name is already in use. Use a different name and try your request again.
- InternalServerException:
An internal server error occurred. Retry your request.
StartEventsDetectionJob
$result = $client->startEventsDetectionJob
([/* ... */]); $promise = $client->startEventsDetectionJobAsync
([/* ... */]);
Starts an asynchronous event detection job for a collection of documents.
Parameter Syntax
$result = $client->startEventsDetectionJob([ 'ClientRequestToken' => '<string>', 'DataAccessRoleArn' => '<string>', // REQUIRED 'InputDataConfig' => [ // REQUIRED 'DocumentReaderConfig' => [ 'DocumentReadAction' => 'TEXTRACT_DETECT_DOCUMENT_TEXT|TEXTRACT_ANALYZE_DOCUMENT', // REQUIRED 'DocumentReadMode' => 'SERVICE_DEFAULT|FORCE_DOCUMENT_READ_ACTION', 'FeatureTypes' => ['<string>', ...], ], 'InputFormat' => 'ONE_DOC_PER_FILE|ONE_DOC_PER_LINE', 'S3Uri' => '<string>', // REQUIRED ], 'JobName' => '<string>', 'LanguageCode' => 'en|es|fr|de|it|pt|ar|hi|ja|ko|zh|zh-TW', // REQUIRED 'OutputDataConfig' => [ // REQUIRED 'KmsKeyId' => '<string>', 'S3Uri' => '<string>', // REQUIRED ], 'Tags' => [ [ 'Key' => '<string>', // REQUIRED 'Value' => '<string>', ], // ... ], 'TargetEventTypes' => ['<string>', ...], // REQUIRED ]);
Parameter Details
Members
- ClientRequestToken
-
- Type: string
An unique identifier for the request. If you don't set the client request token, Amazon Comprehend generates one.
- DataAccessRoleArn
-
- Required: Yes
- Type: string
The Amazon Resource Name (ARN) of the IAM role that grants Amazon Comprehend read access to your input data.
- InputDataConfig
-
- Required: Yes
- Type: InputDataConfig structure
Specifies the format and location of the input data for the job.
- JobName
-
- Type: string
The identifier of the events detection job.
- LanguageCode
-
- Required: Yes
- Type: string
The language code of the input documents.
- OutputDataConfig
-
- Required: Yes
- Type: OutputDataConfig structure
Specifies where to send the output files.
- Tags
-
- Type: Array of Tag structures
Tags to associate with the events detection job. A tag is a key-value pair that adds metadata to a resource used by Amazon Comprehend. For example, a tag with "Sales" as the key might be added to a resource to indicate its use by the sales department.
- TargetEventTypes
-
- Required: Yes
- Type: Array of strings
The types of events to detect in the input documents.
Result Syntax
[ 'JobArn' => '<string>', 'JobId' => '<string>', 'JobStatus' => 'SUBMITTED|IN_PROGRESS|COMPLETED|FAILED|STOP_REQUESTED|STOPPED', ]
Result Details
Members
- JobArn
-
- Type: string
The Amazon Resource Name (ARN) of the events detection job. It is a unique, fully qualified identifier for the job. It includes the Amazon Web Services account, Amazon Web Services Region, and the job ID. The format of the ARN is as follows:
arn:<partition>:comprehend:<region>:<account-id>:events-detection-job/<job-id>
The following is an example job ARN:
arn:aws:comprehend:us-west-2:111122223333:events-detection-job/1234abcd12ab34cd56ef1234567890ab
- JobId
-
- Type: string
An unique identifier for the request. If you don't set the client request token, Amazon Comprehend generates one.
- JobStatus
-
- Type: string
The status of the events detection job.
Errors
- InvalidRequestException:
The request is invalid.
- TooManyRequestsException:
The number of requests exceeds the limit. Resubmit your request later.
- KmsKeyValidationException:
The KMS customer managed key (CMK) entered cannot be validated. Verify the key and re-enter it.
- TooManyTagsException:
The request contains more tags than can be associated with a resource (50 tags per resource). The maximum number of tags includes both existing tags and those included in your current request.
- ResourceInUseException:
The specified resource name is already in use. Use a different name and try your request again.
- InternalServerException:
An internal server error occurred. Retry your request.
StartFlywheelIteration
$result = $client->startFlywheelIteration
([/* ... */]); $promise = $client->startFlywheelIterationAsync
([/* ... */]);
Start the flywheel iteration.This operation uses any new datasets to train a new model version. For more information about flywheels, see Flywheel overview in the Amazon Comprehend Developer Guide.
Parameter Syntax
$result = $client->startFlywheelIteration([ 'ClientRequestToken' => '<string>', 'FlywheelArn' => '<string>', // REQUIRED ]);
Parameter Details
Members
- ClientRequestToken
-
- Type: string
A unique identifier for the request. If you don't set the client request token, Amazon Comprehend generates one.
- FlywheelArn
-
- Required: Yes
- Type: string
The ARN of the flywheel.
Result Syntax
[ 'FlywheelArn' => '<string>', 'FlywheelIterationId' => '<string>', ]
Result Details
Members
- FlywheelArn
-
- Type: string
- FlywheelIterationId
-
- Type: string
Errors
- InvalidRequestException:
The request is invalid.
- TooManyRequestsException:
The number of requests exceeds the limit. Resubmit your request later.
- ResourceInUseException:
The specified resource name is already in use. Use a different name and try your request again.
- ResourceNotFoundException:
The specified resource ARN was not found. Check the ARN and try your request again.
- InternalServerException:
An internal server error occurred. Retry your request.
StartKeyPhrasesDetectionJob
$result = $client->startKeyPhrasesDetectionJob
([/* ... */]); $promise = $client->startKeyPhrasesDetectionJobAsync
([/* ... */]);
Starts an asynchronous key phrase detection job for a collection of documents. Use the operation to track the status of a job.
Parameter Syntax
$result = $client->startKeyPhrasesDetectionJob([ 'ClientRequestToken' => '<string>', 'DataAccessRoleArn' => '<string>', // REQUIRED 'InputDataConfig' => [ // REQUIRED 'DocumentReaderConfig' => [ 'DocumentReadAction' => 'TEXTRACT_DETECT_DOCUMENT_TEXT|TEXTRACT_ANALYZE_DOCUMENT', // REQUIRED 'DocumentReadMode' => 'SERVICE_DEFAULT|FORCE_DOCUMENT_READ_ACTION', 'FeatureTypes' => ['<string>', ...], ], 'InputFormat' => 'ONE_DOC_PER_FILE|ONE_DOC_PER_LINE', 'S3Uri' => '<string>', // REQUIRED ], 'JobName' => '<string>', 'LanguageCode' => 'en|es|fr|de|it|pt|ar|hi|ja|ko|zh|zh-TW', // REQUIRED 'OutputDataConfig' => [ // REQUIRED 'KmsKeyId' => '<string>', 'S3Uri' => '<string>', // REQUIRED ], 'Tags' => [ [ 'Key' => '<string>', // REQUIRED 'Value' => '<string>', ], // ... ], 'VolumeKmsKeyId' => '<string>', 'VpcConfig' => [ 'SecurityGroupIds' => ['<string>', ...], // REQUIRED 'Subnets' => ['<string>', ...], // REQUIRED ], ]);
Parameter Details
Members
- ClientRequestToken
-
- Type: string
A unique identifier for the request. If you don't set the client request token, Amazon Comprehend generates one.
- DataAccessRoleArn
-
- Required: Yes
- Type: string
The Amazon Resource Name (ARN) of the IAM role that grants Amazon Comprehend read access to your input data. For more information, see Role-based permissions.
- InputDataConfig
-
- Required: Yes
- Type: InputDataConfig structure
Specifies the format and location of the input data for the job.
- JobName
-
- Type: string
The identifier of the job.
- LanguageCode
-
- Required: Yes
- Type: string
The language of the input documents. You can specify any of the primary languages supported by Amazon Comprehend. All documents must be in the same language.
- OutputDataConfig
-
- Required: Yes
- Type: OutputDataConfig structure
Specifies where to send the output files.
- Tags
-
- Type: Array of Tag structures
Tags to associate with the key phrases detection job. A tag is a key-value pair that adds metadata to a resource used by Amazon Comprehend. For example, a tag with "Sales" as the key might be added to a resource to indicate its use by the sales department.
- VolumeKmsKeyId
-
- Type: string
ID for the Amazon Web Services Key Management Service (KMS) key that Amazon Comprehend uses to encrypt data on the storage volume attached to the ML compute instance(s) that process the analysis job. The VolumeKmsKeyId can be either of the following formats:
-
KMS Key ID:
"1234abcd-12ab-34cd-56ef-1234567890ab"
-
Amazon Resource Name (ARN) of a KMS Key:
"arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab"
- VpcConfig
-
- Type: VpcConfig structure
Configuration parameters for an optional private Virtual Private Cloud (VPC) containing the resources you are using for your key phrases detection job. For more information, see Amazon VPC.
Result Syntax
[ 'JobArn' => '<string>', 'JobId' => '<string>', 'JobStatus' => 'SUBMITTED|IN_PROGRESS|COMPLETED|FAILED|STOP_REQUESTED|STOPPED', ]
Result Details
Members
- JobArn
-
- Type: string
The Amazon Resource Name (ARN) of the key phrase detection job. It is a unique, fully qualified identifier for the job. It includes the Amazon Web Services account, Amazon Web Services Region, and the job ID. The format of the ARN is as follows:
arn:<partition>:comprehend:<region>:<account-id>:key-phrases-detection-job/<job-id>
The following is an example job ARN:
arn:aws:comprehend:us-west-2:111122223333:key-phrases-detection-job/1234abcd12ab34cd56ef1234567890ab
- JobId
-
- Type: string
The identifier generated for the job. To get the status of a job, use this identifier with the operation.
- JobStatus
-
- Type: string
The status of the job.
-
SUBMITTED - The job has been received and is queued for processing.
-
IN_PROGRESS - Amazon Comprehend is processing the job.
-
COMPLETED - The job was successfully completed and the output is available.
-
FAILED - The job did not complete. To get details, use the operation.
Errors
- InvalidRequestException:
The request is invalid.
- TooManyRequestsException:
The number of requests exceeds the limit. Resubmit your request later.
- KmsKeyValidationException:
The KMS customer managed key (CMK) entered cannot be validated. Verify the key and re-enter it.
- TooManyTagsException:
The request contains more tags than can be associated with a resource (50 tags per resource). The maximum number of tags includes both existing tags and those included in your current request.
- ResourceInUseException:
The specified resource name is already in use. Use a different name and try your request again.
- InternalServerException:
An internal server error occurred. Retry your request.
StartPiiEntitiesDetectionJob
$result = $client->startPiiEntitiesDetectionJob
([/* ... */]); $promise = $client->startPiiEntitiesDetectionJobAsync
([/* ... */]);
Starts an asynchronous PII entity detection job for a collection of documents.
Parameter Syntax
$result = $client->startPiiEntitiesDetectionJob([ 'ClientRequestToken' => '<string>', 'DataAccessRoleArn' => '<string>', // REQUIRED 'InputDataConfig' => [ // REQUIRED 'DocumentReaderConfig' => [ 'DocumentReadAction' => 'TEXTRACT_DETECT_DOCUMENT_TEXT|TEXTRACT_ANALYZE_DOCUMENT', // REQUIRED 'DocumentReadMode' => 'SERVICE_DEFAULT|FORCE_DOCUMENT_READ_ACTION', 'FeatureTypes' => ['<string>', ...], ], 'InputFormat' => 'ONE_DOC_PER_FILE|ONE_DOC_PER_LINE', 'S3Uri' => '<string>', // REQUIRED ], 'JobName' => '<string>', 'LanguageCode' => 'en|es|fr|de|it|pt|ar|hi|ja|ko|zh|zh-TW', // REQUIRED 'Mode' => 'ONLY_REDACTION|ONLY_OFFSETS', // REQUIRED 'OutputDataConfig' => [ // REQUIRED 'KmsKeyId' => '<string>', 'S3Uri' => '<string>', // REQUIRED ], 'RedactionConfig' => [ 'MaskCharacter' => '<string>', 'MaskMode' => 'MASK|REPLACE_WITH_PII_ENTITY_TYPE', 'PiiEntityTypes' => ['<string>', ...], ], 'Tags' => [ [ 'Key' => '<string>', // REQUIRED 'Value' => '<string>', ], // ... ], ]);
Parameter Details
Members
- ClientRequestToken
-
- Type: string
A unique identifier for the request. If you don't set the client request token, Amazon Comprehend generates one.
- DataAccessRoleArn
-
- Required: Yes
- Type: string
The Amazon Resource Name (ARN) of the IAM role that grants Amazon Comprehend read access to your input data.
- InputDataConfig
-
- Required: Yes
- Type: InputDataConfig structure
The input properties for a PII entities detection job.
- JobName
-
- Type: string
The identifier of the job.
- LanguageCode
-
- Required: Yes
- Type: string
The language of the input documents. Enter the language code for English (en) or Spanish (es).
- Mode
-
- Required: Yes
- Type: string
Specifies whether the output provides the locations (offsets) of PII entities or a file in which PII entities are redacted.
- OutputDataConfig
-
- Required: Yes
- Type: OutputDataConfig structure
Provides configuration parameters for the output of PII entity detection jobs.
- RedactionConfig
-
- Type: RedactionConfig structure
Provides configuration parameters for PII entity redaction.
This parameter is required if you set the
Mode
parameter toONLY_REDACTION
. In that case, you must provide aRedactionConfig
definition that includes thePiiEntityTypes
parameter. - Tags
-
- Type: Array of Tag structures
Tags to associate with the PII entities detection job. A tag is a key-value pair that adds metadata to a resource used by Amazon Comprehend. For example, a tag with "Sales" as the key might be added to a resource to indicate its use by the sales department.
Result Syntax
[ 'JobArn' => '<string>', 'JobId' => '<string>', 'JobStatus' => 'SUBMITTED|IN_PROGRESS|COMPLETED|FAILED|STOP_REQUESTED|STOPPED', ]
Result Details
Members
- JobArn
-
- Type: string
The Amazon Resource Name (ARN) of the PII entity detection job. It is a unique, fully qualified identifier for the job. It includes the Amazon Web Services account, Amazon Web Services Region, and the job ID. The format of the ARN is as follows:
arn:<partition>:comprehend:<region>:<account-id>:pii-entities-detection-job/<job-id>
The following is an example job ARN:
arn:aws:comprehend:us-west-2:111122223333:pii-entities-detection-job/1234abcd12ab34cd56ef1234567890ab
- JobId
-
- Type: string
The identifier generated for the job.
- JobStatus
-
- Type: string
The status of the job.
Errors
- InvalidRequestException:
The request is invalid.
- TooManyRequestsException:
The number of requests exceeds the limit. Resubmit your request later.
- KmsKeyValidationException:
The KMS customer managed key (CMK) entered cannot be validated. Verify the key and re-enter it.
- TooManyTagsException:
The request contains more tags than can be associated with a resource (50 tags per resource). The maximum number of tags includes both existing tags and those included in your current request.
- ResourceInUseException:
The specified resource name is already in use. Use a different name and try your request again.
- InternalServerException:
An internal server error occurred. Retry your request.
StartSentimentDetectionJob
$result = $client->startSentimentDetectionJob
([/* ... */]); $promise = $client->startSentimentDetectionJobAsync
([/* ... */]);
Starts an asynchronous sentiment detection job for a collection of documents. Use the operation to track the status of a job.
Parameter Syntax
$result = $client->startSentimentDetectionJob([ 'ClientRequestToken' => '<string>', 'DataAccessRoleArn' => '<string>', // REQUIRED 'InputDataConfig' => [ // REQUIRED 'DocumentReaderConfig' => [ 'DocumentReadAction' => 'TEXTRACT_DETECT_DOCUMENT_TEXT|TEXTRACT_ANALYZE_DOCUMENT', // REQUIRED 'DocumentReadMode' => 'SERVICE_DEFAULT|FORCE_DOCUMENT_READ_ACTION', 'FeatureTypes' => ['<string>', ...], ], 'InputFormat' => 'ONE_DOC_PER_FILE|ONE_DOC_PER_LINE', 'S3Uri' => '<string>', // REQUIRED ], 'JobName' => '<string>', 'LanguageCode' => 'en|es|fr|de|it|pt|ar|hi|ja|ko|zh|zh-TW', // REQUIRED 'OutputDataConfig' => [ // REQUIRED 'KmsKeyId' => '<string>', 'S3Uri' => '<string>', // REQUIRED ], 'Tags' => [ [ 'Key' => '<string>', // REQUIRED 'Value' => '<string>', ], // ... ], 'VolumeKmsKeyId' => '<string>', 'VpcConfig' => [ 'SecurityGroupIds' => ['<string>', ...], // REQUIRED 'Subnets' => ['<string>', ...], // REQUIRED ], ]);
Parameter Details
Members
- ClientRequestToken
-
- Type: string
A unique identifier for the request. If you don't set the client request token, Amazon Comprehend generates one.
- DataAccessRoleArn
-
- Required: Yes
- Type: string
The Amazon Resource Name (ARN) of the IAM role that grants Amazon Comprehend read access to your input data. For more information, see Role-based permissions.
- InputDataConfig
-
- Required: Yes
- Type: InputDataConfig structure
Specifies the format and location of the input data for the job.
- JobName
-
- Type: string
The identifier of the job.
- LanguageCode
-
- Required: Yes
- Type: string
The language of the input documents. You can specify any of the primary languages supported by Amazon Comprehend. All documents must be in the same language.
- OutputDataConfig
-
- Required: Yes
- Type: OutputDataConfig structure
Specifies where to send the output files.
- Tags
-
- Type: Array of Tag structures
Tags to associate with the sentiment detection job. A tag is a key-value pair that adds metadata to a resource used by Amazon Comprehend. For example, a tag with "Sales" as the key might be added to a resource to indicate its use by the sales department.
- VolumeKmsKeyId
-
- Type: string
ID for the Amazon Web Services Key Management Service (KMS) key that Amazon Comprehend uses to encrypt data on the storage volume attached to the ML compute instance(s) that process the analysis job. The VolumeKmsKeyId can be either of the following formats:
-
KMS Key ID:
"1234abcd-12ab-34cd-56ef-1234567890ab"
-
Amazon Resource Name (ARN) of a KMS Key:
"arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab"
- VpcConfig
-
- Type: VpcConfig structure
Configuration parameters for an optional private Virtual Private Cloud (VPC) containing the resources you are using for your sentiment detection job. For more information, see Amazon VPC.
Result Syntax
[ 'JobArn' => '<string>', 'JobId' => '<string>', 'JobStatus' => 'SUBMITTED|IN_PROGRESS|COMPLETED|FAILED|STOP_REQUESTED|STOPPED', ]
Result Details
Members
- JobArn
-
- Type: string
The Amazon Resource Name (ARN) of the sentiment detection job. It is a unique, fully qualified identifier for the job. It includes the Amazon Web Services account, Amazon Web Services Region, and the job ID. The format of the ARN is as follows:
arn:<partition>:comprehend:<region>:<account-id>:sentiment-detection-job/<job-id>
The following is an example job ARN:
arn:aws:comprehend:us-west-2:111122223333:sentiment-detection-job/1234abcd12ab34cd56ef1234567890ab
- JobId
-
- Type: string
The identifier generated for the job. To get the status of a job, use this identifier with the operation.
- JobStatus
-
- Type: string
The status of the job.
-
SUBMITTED - The job has been received and is queued for processing.
-
IN_PROGRESS - Amazon Comprehend is processing the job.
-
COMPLETED - The job was successfully completed and the output is available.
-
FAILED - The job did not complete. To get details, use the operation.
Errors
- InvalidRequestException:
The request is invalid.
- TooManyRequestsException:
The number of requests exceeds the limit. Resubmit your request later.
- KmsKeyValidationException:
The KMS customer managed key (CMK) entered cannot be validated. Verify the key and re-enter it.
- TooManyTagsException:
The request contains more tags than can be associated with a resource (50 tags per resource). The maximum number of tags includes both existing tags and those included in your current request.
- ResourceInUseException:
The specified resource name is already in use. Use a different name and try your request again.
- InternalServerException:
An internal server error occurred. Retry your request.
StartTargetedSentimentDetectionJob
$result = $client->startTargetedSentimentDetectionJob
([/* ... */]); $promise = $client->startTargetedSentimentDetectionJobAsync
([/* ... */]);
Starts an asynchronous targeted sentiment detection job for a collection of documents. Use the DescribeTargetedSentimentDetectionJob
operation to track the status of a job.
Parameter Syntax
$result = $client->startTargetedSentimentDetectionJob([ 'ClientRequestToken' => '<string>', 'DataAccessRoleArn' => '<string>', // REQUIRED 'InputDataConfig' => [ // REQUIRED 'DocumentReaderConfig' => [ 'DocumentReadAction' => 'TEXTRACT_DETECT_DOCUMENT_TEXT|TEXTRACT_ANALYZE_DOCUMENT', // REQUIRED 'DocumentReadMode' => 'SERVICE_DEFAULT|FORCE_DOCUMENT_READ_ACTION', 'FeatureTypes' => ['<string>', ...], ], 'InputFormat' => 'ONE_DOC_PER_FILE|ONE_DOC_PER_LINE', 'S3Uri' => '<string>', // REQUIRED ], 'JobName' => '<string>', 'LanguageCode' => 'en|es|fr|de|it|pt|ar|hi|ja|ko|zh|zh-TW', // REQUIRED 'OutputDataConfig' => [ // REQUIRED 'KmsKeyId' => '<string>', 'S3Uri' => '<string>', // REQUIRED ], 'Tags' => [ [ 'Key' => '<string>', // REQUIRED 'Value' => '<string>', ], // ... ], 'VolumeKmsKeyId' => '<string>', 'VpcConfig' => [ 'SecurityGroupIds' => ['<string>', ...], // REQUIRED 'Subnets' => ['<string>', ...], // REQUIRED ], ]);
Parameter Details
Members
- ClientRequestToken
-
- Type: string
A unique identifier for the request. If you don't set the client request token, Amazon Comprehend generates one.
- DataAccessRoleArn
-
- Required: Yes
- Type: string
The Amazon Resource Name (ARN) of the IAM role that grants Amazon Comprehend read access to your input data. For more information, see Role-based permissions.
- InputDataConfig
-
- Required: Yes
- Type: InputDataConfig structure
The input properties for an inference job. The document reader config field applies only to non-text inputs for custom analysis.
- JobName
-
- Type: string
The identifier of the job.
- LanguageCode
-
- Required: Yes
- Type: string
The language of the input documents. Currently, English is the only supported language.
- OutputDataConfig
-
- Required: Yes
- Type: OutputDataConfig structure
Specifies where to send the output files.
- Tags
-
- Type: Array of Tag structures
Tags to associate with the targeted sentiment detection job. A tag is a key-value pair that adds metadata to a resource used by Amazon Comprehend. For example, a tag with "Sales" as the key might be added to a resource to indicate its use by the sales department.
- VolumeKmsKeyId
-
- Type: string
ID for the KMS key that Amazon Comprehend uses to encrypt data on the storage volume attached to the ML compute instance(s) that process the analysis job. The VolumeKmsKeyId can be either of the following formats:
-
KMS Key ID:
"1234abcd-12ab-34cd-56ef-1234567890ab"
-
Amazon Resource Name (ARN) of a KMS Key:
"arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab"
- VpcConfig
-
- Type: VpcConfig structure
Configuration parameters for an optional private Virtual Private Cloud (VPC) containing the resources you are using for the job. For more information, see Amazon VPC.
Result Syntax
[ 'JobArn' => '<string>', 'JobId' => '<string>', 'JobStatus' => 'SUBMITTED|IN_PROGRESS|COMPLETED|FAILED|STOP_REQUESTED|STOPPED', ]
Result Details
Members
- JobArn
-
- Type: string
The Amazon Resource Name (ARN) of the targeted sentiment detection job. It is a unique, fully qualified identifier for the job. It includes the Amazon Web Services account, Amazon Web Services Region, and the job ID. The format of the ARN is as follows:
arn:<partition>:comprehend:<region>:<account-id>:targeted-sentiment-detection-job/<job-id>
The following is an example job ARN:
arn:aws:comprehend:us-west-2:111122223333:targeted-sentiment-detection-job/1234abcd12ab34cd56ef1234567890ab
- JobId
-
- Type: string
The identifier generated for the job. To get the status of a job, use this identifier with the
DescribeTargetedSentimentDetectionJob
operation. - JobStatus
-
- Type: string
The status of the job.
-
SUBMITTED - The job has been received and is queued for processing.
-
IN_PROGRESS - Amazon Comprehend is processing the job.
-
COMPLETED - The job was successfully completed and the output is available.
-
FAILED - The job did not complete. To get details, use the
DescribeTargetedSentimentDetectionJob
operation.
Errors
- InvalidRequestException:
The request is invalid.
- TooManyRequestsException:
The number of requests exceeds the limit. Resubmit your request later.
- KmsKeyValidationException:
The KMS customer managed key (CMK) entered cannot be validated. Verify the key and re-enter it.
- TooManyTagsException:
The request contains more tags than can be associated with a resource (50 tags per resource). The maximum number of tags includes both existing tags and those included in your current request.
- ResourceInUseException:
The specified resource name is already in use. Use a different name and try your request again.
- InternalServerException:
An internal server error occurred. Retry your request.
StartTopicsDetectionJob
$result = $client->startTopicsDetectionJob
([/* ... */]); $promise = $client->startTopicsDetectionJobAsync
([/* ... */]);
Starts an asynchronous topic detection job. Use the DescribeTopicDetectionJob
operation to track the status of a job.
Parameter Syntax
$result = $client->startTopicsDetectionJob([ 'ClientRequestToken' => '<string>', 'DataAccessRoleArn' => '<string>', // REQUIRED 'InputDataConfig' => [ // REQUIRED 'DocumentReaderConfig' => [ 'DocumentReadAction' => 'TEXTRACT_DETECT_DOCUMENT_TEXT|TEXTRACT_ANALYZE_DOCUMENT', // REQUIRED 'DocumentReadMode' => 'SERVICE_DEFAULT|FORCE_DOCUMENT_READ_ACTION', 'FeatureTypes' => ['<string>', ...], ], 'InputFormat' => 'ONE_DOC_PER_FILE|ONE_DOC_PER_LINE', 'S3Uri' => '<string>', // REQUIRED ], 'JobName' => '<string>', 'NumberOfTopics' => <integer>, 'OutputDataConfig' => [ // REQUIRED 'KmsKeyId' => '<string>', 'S3Uri' => '<string>', // REQUIRED ], 'Tags' => [ [ 'Key' => '<string>', // REQUIRED 'Value' => '<string>', ], // ... ], 'VolumeKmsKeyId' => '<string>', 'VpcConfig' => [ 'SecurityGroupIds' => ['<string>', ...], // REQUIRED 'Subnets' => ['<string>', ...], // REQUIRED ], ]);
Parameter Details
Members
- ClientRequestToken
-
- Type: string
A unique identifier for the request. If you do not set the client request token, Amazon Comprehend generates one.
- DataAccessRoleArn
-
- Required: Yes
- Type: string
The Amazon Resource Name (ARN) of the IAM role that grants Amazon Comprehend read access to your input data. For more information, see Role-based permissions.
- InputDataConfig
-
- Required: Yes
- Type: InputDataConfig structure
Specifies the format and location of the input data for the job.
- JobName
-
- Type: string
The identifier of the job.
- NumberOfTopics
-
- Type: int
The number of topics to detect.
- OutputDataConfig
-
- Required: Yes
- Type: OutputDataConfig structure
Specifies where to send the output files. The output is a compressed archive with two files,
topic-terms.csv
that lists the terms associated with each topic, anddoc-topics.csv
that lists the documents associated with each topic - Tags
-
- Type: Array of Tag structures
Tags to associate with the topics detection job. A tag is a key-value pair that adds metadata to a resource used by Amazon Comprehend. For example, a tag with "Sales" as the key might be added to a resource to indicate its use by the sales department.
- VolumeKmsKeyId
-
- Type: string
ID for the Amazon Web Services Key Management Service (KMS) key that Amazon Comprehend uses to encrypt data on the storage volume attached to the ML compute instance(s) that process the analysis job. The VolumeKmsKeyId can be either of the following formats:
-
KMS Key ID:
"1234abcd-12ab-34cd-56ef-1234567890ab"
-
Amazon Resource Name (ARN) of a KMS Key:
"arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab"
- VpcConfig
-
- Type: VpcConfig structure
Configuration parameters for an optional private Virtual Private Cloud (VPC) containing the resources you are using for your topic detection job. For more information, see Amazon VPC.
Result Syntax
[ 'JobArn' => '<string>', 'JobId' => '<string>', 'JobStatus' => 'SUBMITTED|IN_PROGRESS|COMPLETED|FAILED|STOP_REQUESTED|STOPPED', ]
Result Details
Members
- JobArn
-
- Type: string
The Amazon Resource Name (ARN) of the topics detection job. It is a unique, fully qualified identifier for the job. It includes the Amazon Web Services account, Amazon Web Services Region, and the job ID. The format of the ARN is as follows:
arn:<partition>:comprehend:<region>:<account-id>:topics-detection-job/<job-id>
The following is an example job ARN:
arn:aws:comprehend:us-west-2:111122223333:document-classification-job/1234abcd12ab34cd56ef1234567890ab
- JobId
-
- Type: string
The identifier generated for the job. To get the status of the job, use this identifier with the
DescribeTopicDetectionJob
operation. - JobStatus
-
- Type: string
The status of the job:
-
SUBMITTED - The job has been received and is queued for processing.
-
IN_PROGRESS - Amazon Comprehend is processing the job.
-
COMPLETED - The job was successfully completed and the output is available.
-
FAILED - The job did not complete. To get details, use the
DescribeTopicDetectionJob
operation.
Errors
- InvalidRequestException:
The request is invalid.
- TooManyRequestsException:
The number of requests exceeds the limit. Resubmit your request later.
- KmsKeyValidationException:
The KMS customer managed key (CMK) entered cannot be validated. Verify the key and re-enter it.
- TooManyTagsException:
The request contains more tags than can be associated with a resource (50 tags per resource). The maximum number of tags includes both existing tags and those included in your current request.
- ResourceInUseException:
The specified resource name is already in use. Use a different name and try your request again.
- InternalServerException:
An internal server error occurred. Retry your request.
StopDominantLanguageDetectionJob
$result = $client->stopDominantLanguageDetectionJob
([/* ... */]); $promise = $client->stopDominantLanguageDetectionJobAsync
([/* ... */]);
Stops a dominant language detection job in progress.
If the job state is IN_PROGRESS
the job is marked for termination and put into the STOP_REQUESTED
state. If the job completes before it can be stopped, it is put into the COMPLETED
state; otherwise the job is stopped and put into the STOPPED
state.
If the job is in the COMPLETED
or FAILED
state when you call the StopDominantLanguageDetectionJob
operation, the operation returns a 400 Internal Request Exception.
When a job is stopped, any documents already processed are written to the output location.
Parameter Syntax
$result = $client->stopDominantLanguageDetectionJob([ 'JobId' => '<string>', // REQUIRED ]);
Parameter Details
Members
- JobId
-
- Required: Yes
- Type: string
The identifier of the dominant language detection job to stop.
Result Syntax
[ 'JobId' => '<string>', 'JobStatus' => 'SUBMITTED|IN_PROGRESS|COMPLETED|FAILED|STOP_REQUESTED|STOPPED', ]
Result Details
Members
- JobId
-
- Type: string
The identifier of the dominant language detection job to stop.
- JobStatus
-
- Type: string
Either
STOP_REQUESTED
if the job is currently running, orSTOPPED
if the job was previously stopped with theStopDominantLanguageDetectionJob
operation.
Errors
- InvalidRequestException:
The request is invalid.
- JobNotFoundException:
The specified job was not found. Check the job ID and try again.
- InternalServerException:
An internal server error occurred. Retry your request.
StopEntitiesDetectionJob
$result = $client->stopEntitiesDetectionJob
([/* ... */]); $promise = $client->stopEntitiesDetectionJobAsync
([/* ... */]);
Stops an entities detection job in progress.
If the job state is IN_PROGRESS
the job is marked for termination and put into the STOP_REQUESTED
state. If the job completes before it can be stopped, it is put into the COMPLETED
state; otherwise the job is stopped and put into the STOPPED
state.
If the job is in the COMPLETED
or FAILED
state when you call the StopDominantLanguageDetectionJob
operation, the operation returns a 400 Internal Request Exception.
When a job is stopped, any documents already processed are written to the output location.
Parameter Syntax
$result = $client->stopEntitiesDetectionJob([ 'JobId' => '<string>', // REQUIRED ]);
Parameter Details
Members
- JobId
-
- Required: Yes
- Type: string
The identifier of the entities detection job to stop.
Result Syntax
[ 'JobId' => '<string>', 'JobStatus' => 'SUBMITTED|IN_PROGRESS|COMPLETED|FAILED|STOP_REQUESTED|STOPPED', ]
Result Details
Members
- JobId
-
- Type: string
The identifier of the entities detection job to stop.
- JobStatus
-
- Type: string
Either
STOP_REQUESTED
if the job is currently running, orSTOPPED
if the job was previously stopped with theStopEntitiesDetectionJob
operation.
Errors
- InvalidRequestException:
The request is invalid.
- JobNotFoundException:
The specified job was not found. Check the job ID and try again.
- InternalServerException:
An internal server error occurred. Retry your request.
StopEventsDetectionJob
$result = $client->stopEventsDetectionJob
([/* ... */]); $promise = $client->stopEventsDetectionJobAsync
([/* ... */]);
Stops an events detection job in progress.
Parameter Syntax
$result = $client->stopEventsDetectionJob([ 'JobId' => '<string>', // REQUIRED ]);
Parameter Details
Members
- JobId
-
- Required: Yes
- Type: string
The identifier of the events detection job to stop.
Result Syntax
[ 'JobId' => '<string>', 'JobStatus' => 'SUBMITTED|IN_PROGRESS|COMPLETED|FAILED|STOP_REQUESTED|STOPPED', ]
Result Details
Members
- JobId
-
- Type: string
The identifier of the events detection job to stop.
- JobStatus
-
- Type: string
The status of the events detection job.
Errors
- InvalidRequestException:
The request is invalid.
- JobNotFoundException:
The specified job was not found. Check the job ID and try again.
- InternalServerException:
An internal server error occurred. Retry your request.
StopKeyPhrasesDetectionJob
$result = $client->stopKeyPhrasesDetectionJob
([/* ... */]); $promise = $client->stopKeyPhrasesDetectionJobAsync
([/* ... */]);
Stops a key phrases detection job in progress.
If the job state is IN_PROGRESS
the job is marked for termination and put into the STOP_REQUESTED
state. If the job completes before it can be stopped, it is put into the COMPLETED
state; otherwise the job is stopped and put into the STOPPED
state.
If the job is in the COMPLETED
or FAILED
state when you call the StopDominantLanguageDetectionJob
operation, the operation returns a 400 Internal Request Exception.
When a job is stopped, any documents already processed are written to the output location.
Parameter Syntax
$result = $client->stopKeyPhrasesDetectionJob([ 'JobId' => '<string>', // REQUIRED ]);
Parameter Details
Members
- JobId
-
- Required: Yes
- Type: string
The identifier of the key phrases detection job to stop.
Result Syntax
[ 'JobId' => '<string>', 'JobStatus' => 'SUBMITTED|IN_PROGRESS|COMPLETED|FAILED|STOP_REQUESTED|STOPPED', ]
Result Details
Members
- JobId
-
- Type: string
The identifier of the key phrases detection job to stop.
- JobStatus
-
- Type: string
Either
STOP_REQUESTED
if the job is currently running, orSTOPPED
if the job was previously stopped with theStopKeyPhrasesDetectionJob
operation.
Errors
- InvalidRequestException:
The request is invalid.
- JobNotFoundException:
The specified job was not found. Check the job ID and try again.
- InternalServerException:
An internal server error occurred. Retry your request.
StopPiiEntitiesDetectionJob
$result = $client->stopPiiEntitiesDetectionJob
([/* ... */]); $promise = $client->stopPiiEntitiesDetectionJobAsync
([/* ... */]);
Stops a PII entities detection job in progress.
Parameter Syntax
$result = $client->stopPiiEntitiesDetectionJob([ 'JobId' => '<string>', // REQUIRED ]);
Parameter Details
Members
- JobId
-
- Required: Yes
- Type: string
The identifier of the PII entities detection job to stop.
Result Syntax
[ 'JobId' => '<string>', 'JobStatus' => 'SUBMITTED|IN_PROGRESS|COMPLETED|FAILED|STOP_REQUESTED|STOPPED', ]
Result Details
Members
- JobId
-
- Type: string
The identifier of the PII entities detection job to stop.
- JobStatus
-
- Type: string
The status of the PII entities detection job.
Errors
- InvalidRequestException:
The request is invalid.
- JobNotFoundException:
The specified job was not found. Check the job ID and try again.
- InternalServerException:
An internal server error occurred. Retry your request.
StopSentimentDetectionJob
$result = $client->stopSentimentDetectionJob
([/* ... */]); $promise = $client->stopSentimentDetectionJobAsync
([/* ... */]);
Stops a sentiment detection job in progress.
If the job state is IN_PROGRESS
, the job is marked for termination and put into the STOP_REQUESTED
state. If the job completes before it can be stopped, it is put into the COMPLETED
state; otherwise the job is be stopped and put into the STOPPED
state.
If the job is in the COMPLETED
or FAILED
state when you call the StopDominantLanguageDetectionJob
operation, the operation returns a 400 Internal Request Exception.
When a job is stopped, any documents already processed are written to the output location.
Parameter Syntax
$result = $client->stopSentimentDetectionJob([ 'JobId' => '<string>', // REQUIRED ]);
Parameter Details
Members
- JobId
-
- Required: Yes
- Type: string
The identifier of the sentiment detection job to stop.
Result Syntax
[ 'JobId' => '<string>', 'JobStatus' => 'SUBMITTED|IN_PROGRESS|COMPLETED|FAILED|STOP_REQUESTED|STOPPED', ]
Result Details
Members
- JobId
-
- Type: string
The identifier of the sentiment detection job to stop.
- JobStatus
-
- Type: string
Either
STOP_REQUESTED
if the job is currently running, orSTOPPED
if the job was previously stopped with theStopSentimentDetectionJob
operation.
Errors
- InvalidRequestException:
The request is invalid.
- JobNotFoundException:
The specified job was not found. Check the job ID and try again.
- InternalServerException:
An internal server error occurred. Retry your request.
StopTargetedSentimentDetectionJob
$result = $client->stopTargetedSentimentDetectionJob
([/* ... */]); $promise = $client->stopTargetedSentimentDetectionJobAsync
([/* ... */]);
Stops a targeted sentiment detection job in progress.
If the job state is IN_PROGRESS
, the job is marked for termination and put into the STOP_REQUESTED
state. If the job completes before it can be stopped, it is put into the COMPLETED
state; otherwise the job is be stopped and put into the STOPPED
state.
If the job is in the COMPLETED
or FAILED
state when you call the StopDominantLanguageDetectionJob
operation, the operation returns a 400 Internal Request Exception.
When a job is stopped, any documents already processed are written to the output location.
Parameter Syntax
$result = $client->stopTargetedSentimentDetectionJob([ 'JobId' => '<string>', // REQUIRED ]);
Parameter Details
Members
- JobId
-
- Required: Yes
- Type: string
The identifier of the targeted sentiment detection job to stop.
Result Syntax
[ 'JobId' => '<string>', 'JobStatus' => 'SUBMITTED|IN_PROGRESS|COMPLETED|FAILED|STOP_REQUESTED|STOPPED', ]
Result Details
Members
- JobId
-
- Type: string
The identifier of the targeted sentiment detection job to stop.
- JobStatus
-
- Type: string
Either
STOP_REQUESTED
if the job is currently running, orSTOPPED
if the job was previously stopped with theStopSentimentDetectionJob
operation.
Errors
- InvalidRequestException:
The request is invalid.
- JobNotFoundException:
The specified job was not found. Check the job ID and try again.
- InternalServerException:
An internal server error occurred. Retry your request.
StopTrainingDocumentClassifier
$result = $client->stopTrainingDocumentClassifier
([/* ... */]); $promise = $client->stopTrainingDocumentClassifierAsync
([/* ... */]);
Stops a document classifier training job while in progress.
If the training job state is TRAINING
, the job is marked for termination and put into the STOP_REQUESTED
state. If the training job completes before it can be stopped, it is put into the TRAINED
; otherwise the training job is stopped and put into the STOPPED
state and the service sends back an HTTP 200 response with an empty HTTP body.
Parameter Syntax
$result = $client->stopTrainingDocumentClassifier([ 'DocumentClassifierArn' => '<string>', // REQUIRED ]);
Parameter Details
Members
- DocumentClassifierArn
-
- Required: Yes
- Type: string
The Amazon Resource Name (ARN) that identifies the document classifier currently being trained.
Result Syntax
[]
Result Details
Errors
- InvalidRequestException:
The request is invalid.
- TooManyRequestsException:
The number of requests exceeds the limit. Resubmit your request later.
- ResourceNotFoundException:
The specified resource ARN was not found. Check the ARN and try your request again.
- InternalServerException:
An internal server error occurred. Retry your request.
StopTrainingEntityRecognizer
$result = $client->stopTrainingEntityRecognizer
([/* ... */]); $promise = $client->stopTrainingEntityRecognizerAsync
([/* ... */]);
Stops an entity recognizer training job while in progress.
If the training job state is TRAINING
, the job is marked for termination and put into the STOP_REQUESTED
state. If the training job completes before it can be stopped, it is put into the TRAINED
; otherwise the training job is stopped and putted into the STOPPED
state and the service sends back an HTTP 200 response with an empty HTTP body.
Parameter Syntax
$result = $client->stopTrainingEntityRecognizer([ 'EntityRecognizerArn' => '<string>', // REQUIRED ]);
Parameter Details
Members
- EntityRecognizerArn
-
- Required: Yes
- Type: string
The Amazon Resource Name (ARN) that identifies the entity recognizer currently being trained.
Result Syntax
[]
Result Details
Errors
- InvalidRequestException:
The request is invalid.
- TooManyRequestsException:
The number of requests exceeds the limit. Resubmit your request later.
- ResourceNotFoundException:
The specified resource ARN was not found. Check the ARN and try your request again.
- InternalServerException:
An internal server error occurred. Retry your request.
TagResource
$result = $client->tagResource
([/* ... */]); $promise = $client->tagResourceAsync
([/* ... */]);
Associates a specific tag with an Amazon Comprehend resource. A tag is a key-value pair that adds as a metadata to a resource used by Amazon Comprehend. For example, a tag with "Sales" as the key might be added to a resource to indicate its use by the sales department.
Parameter Syntax
$result = $client->tagResource([ 'ResourceArn' => '<string>', // REQUIRED 'Tags' => [ // REQUIRED [ 'Key' => '<string>', // REQUIRED 'Value' => '<string>', ], // ... ], ]);
Parameter Details
Members
- ResourceArn
-
- Required: Yes
- Type: string
The Amazon Resource Name (ARN) of the given Amazon Comprehend resource to which you want to associate the tags.
- Tags
-
- Required: Yes
- Type: Array of Tag structures
Tags being associated with a specific Amazon Comprehend resource. There can be a maximum of 50 tags (both existing and pending) associated with a specific resource.
Result Syntax
[]
Result Details
Errors
- InvalidRequestException:
The request is invalid.
- ConcurrentModificationException:
Concurrent modification of the tags associated with an Amazon Comprehend resource is not supported.
- ResourceNotFoundException:
The specified resource ARN was not found. Check the ARN and try your request again.
- TooManyTagsException:
The request contains more tags than can be associated with a resource (50 tags per resource). The maximum number of tags includes both existing tags and those included in your current request.
- InternalServerException:
An internal server error occurred. Retry your request.
UntagResource
$result = $client->untagResource
([/* ... */]); $promise = $client->untagResourceAsync
([/* ... */]);
Removes a specific tag associated with an Amazon Comprehend resource.
Parameter Syntax
$result = $client->untagResource([ 'ResourceArn' => '<string>', // REQUIRED 'TagKeys' => ['<string>', ...], // REQUIRED ]);
Parameter Details
Members
- ResourceArn
-
- Required: Yes
- Type: string
The Amazon Resource Name (ARN) of the given Amazon Comprehend resource from which you want to remove the tags.
- TagKeys
-
- Required: Yes
- Type: Array of strings
The initial part of a key-value pair that forms a tag being removed from a given resource. For example, a tag with "Sales" as the key might be added to a resource to indicate its use by the sales department. Keys must be unique and cannot be duplicated for a particular resource.
Result Syntax
[]
Result Details
Errors
- TooManyTagKeysException:
The request contains more tag keys than can be associated with a resource (50 tag keys per resource).
- InvalidRequestException:
The request is invalid.
- ConcurrentModificationException:
Concurrent modification of the tags associated with an Amazon Comprehend resource is not supported.
- ResourceNotFoundException:
The specified resource ARN was not found. Check the ARN and try your request again.
- InternalServerException:
An internal server error occurred. Retry your request.
UpdateEndpoint
$result = $client->updateEndpoint
([/* ... */]); $promise = $client->updateEndpointAsync
([/* ... */]);
Updates information about the specified endpoint. For information about endpoints, see Managing endpoints.
Parameter Syntax
$result = $client->updateEndpoint([ 'DesiredDataAccessRoleArn' => '<string>', 'DesiredInferenceUnits' => <integer>, 'DesiredModelArn' => '<string>', 'EndpointArn' => '<string>', // REQUIRED 'FlywheelArn' => '<string>', ]);
Parameter Details
Members
- DesiredDataAccessRoleArn
-
- Type: string
Data access role ARN to use in case the new model is encrypted with a customer CMK.
- DesiredInferenceUnits
-
- Type: int
The desired number of inference units to be used by the model using this endpoint. Each inference unit represents of a throughput of 100 characters per second.
- DesiredModelArn
-
- Type: string
The ARN of the new model to use when updating an existing endpoint.
- EndpointArn
-
- Required: Yes
- Type: string
The Amazon Resource Number (ARN) of the endpoint being updated.
- FlywheelArn
-
- Type: string
The Amazon Resource Number (ARN) of the flywheel
Result Syntax
[ 'DesiredModelArn' => '<string>', ]
Result Details
Members
- DesiredModelArn
-
- Type: string
The Amazon Resource Number (ARN) of the new model.
Errors
- InvalidRequestException:
The request is invalid.
- TooManyRequestsException:
The number of requests exceeds the limit. Resubmit your request later.
- ResourceInUseException:
The specified resource name is already in use. Use a different name and try your request again.
- ResourceLimitExceededException:
The maximum number of resources per account has been exceeded. Review the resources, and then try your request again.
- ResourceNotFoundException:
The specified resource ARN was not found. Check the ARN and try your request again.
- ResourceUnavailableException:
The specified resource is not available. Check the resource and try your request again.
- InternalServerException:
An internal server error occurred. Retry your request.
UpdateFlywheel
$result = $client->updateFlywheel
([/* ... */]); $promise = $client->updateFlywheelAsync
([/* ... */]);
Update the configuration information for an existing flywheel.
Parameter Syntax
$result = $client->updateFlywheel([ 'ActiveModelArn' => '<string>', 'DataAccessRoleArn' => '<string>', 'DataSecurityConfig' => [ 'ModelKmsKeyId' => '<string>', 'VolumeKmsKeyId' => '<string>', 'VpcConfig' => [ 'SecurityGroupIds' => ['<string>', ...], // REQUIRED 'Subnets' => ['<string>', ...], // REQUIRED ], ], 'FlywheelArn' => '<string>', // REQUIRED ]);
Parameter Details
Members
- ActiveModelArn
-
- Type: string
The Amazon Resource Number (ARN) of the active model version.
- DataAccessRoleArn
-
- Type: string
The Amazon Resource Name (ARN) of the IAM role that grants Amazon Comprehend permission to access the flywheel data.
- DataSecurityConfig
-
- Type: UpdateDataSecurityConfig structure
Flywheel data security configuration.
- FlywheelArn
-
- Required: Yes
- Type: string
The Amazon Resource Number (ARN) of the flywheel to update.
Result Syntax
[ 'FlywheelProperties' => [ 'ActiveModelArn' => '<string>', 'CreationTime' => <DateTime>, 'DataAccessRoleArn' => '<string>', 'DataLakeS3Uri' => '<string>', 'DataSecurityConfig' => [ 'DataLakeKmsKeyId' => '<string>', 'ModelKmsKeyId' => '<string>', 'VolumeKmsKeyId' => '<string>', 'VpcConfig' => [ 'SecurityGroupIds' => ['<string>', ...], 'Subnets' => ['<string>', ...], ], ], 'FlywheelArn' => '<string>', 'LastModifiedTime' => <DateTime>, 'LatestFlywheelIteration' => '<string>', 'Message' => '<string>', 'ModelType' => 'DOCUMENT_CLASSIFIER|ENTITY_RECOGNIZER', 'Status' => 'CREATING|ACTIVE|UPDATING|DELETING|FAILED', 'TaskConfig' => [ 'DocumentClassificationConfig' => [ 'Labels' => ['<string>', ...], 'Mode' => 'MULTI_CLASS|MULTI_LABEL', ], 'EntityRecognitionConfig' => [ 'EntityTypes' => [ [ 'Type' => '<string>', ], // ... ], ], 'LanguageCode' => 'en|es|fr|de|it|pt|ar|hi|ja|ko|zh|zh-TW', ], ], ]
Result Details
Members
- FlywheelProperties
-
- Type: FlywheelProperties structure
The flywheel properties.
Errors
- InvalidRequestException:
The request is invalid.
- TooManyRequestsException:
The number of requests exceeds the limit. Resubmit your request later.
- KmsKeyValidationException:
The KMS customer managed key (CMK) entered cannot be validated. Verify the key and re-enter it.
- ResourceNotFoundException:
The specified resource ARN was not found. Check the ARN and try your request again.
- InternalServerException:
An internal server error occurred. Retry your request.
Shapes
AugmentedManifestsListItem
Description
An augmented manifest file that provides training data for your custom model. An augmented manifest file is a labeled dataset that is produced by Amazon SageMaker Ground Truth.
Members
- AnnotationDataS3Uri
-
- Type: string
The S3 prefix to the annotation files that are referred in the augmented manifest file.
- AttributeNames
-
- Required: Yes
- Type: Array of strings
The JSON attribute that contains the annotations for your training documents. The number of attribute names that you specify depends on whether your augmented manifest file is the output of a single labeling job or a chained labeling job.
If your file is the output of a single labeling job, specify the LabelAttributeName key that was used when the job was created in Ground Truth.
If your file is the output of a chained labeling job, specify the LabelAttributeName key for one or more jobs in the chain. Each LabelAttributeName key provides the annotations from an individual job.
- DocumentType
-
- Type: string
The type of augmented manifest. PlainTextDocument or SemiStructuredDocument. If you don't specify, the default is PlainTextDocument.
-
PLAIN_TEXT_DOCUMENT
A document type that represents any unicode text that is encoded in UTF-8. -
SEMI_STRUCTURED_DOCUMENT
A document type with positional and structural context, like a PDF. For training with Amazon Comprehend, only PDFs are supported. For inference, Amazon Comprehend support PDFs, DOCX and TXT.
- S3Uri
-
- Required: Yes
- Type: string
The Amazon S3 location of the augmented manifest file.
- SourceDocumentsS3Uri
-
- Type: string
The S3 prefix to the source files (PDFs) that are referred to in the augmented manifest file.
- Split
-
- Type: string
The purpose of the data you've provided in the augmented manifest. You can either train or test this data. If you don't specify, the default is train.
TRAIN - all of the documents in the manifest will be used for training. If no test documents are provided, Amazon Comprehend will automatically reserve a portion of the training documents for testing.
TEST - all of the documents in the manifest will be used for testing.
BatchDetectDominantLanguageItemResult
Description
The result of calling the operation. The operation returns one object for each document that is successfully processed by the operation.
Members
- Index
-
- Type: int
The zero-based index of the document in the input list.
- Languages
-
- Type: Array of DominantLanguage structures
One or more DominantLanguage objects describing the dominant languages in the document.
BatchDetectEntitiesItemResult
Description
The result of calling the operation. The operation returns one object for each document that is successfully processed by the operation.
Members
BatchDetectKeyPhrasesItemResult
Description
The result of calling the operation. The operation returns one object for each document that is successfully processed by the operation.
Members
BatchDetectSentimentItemResult
Description
The result of calling the operation. The operation returns one object for each document that is successfully processed by the operation.
Members
- Index
-
- Type: int
The zero-based index of the document in the input list.
- Sentiment
-
- Type: string
The sentiment detected in the document.
- SentimentScore
-
- Type: SentimentScore structure
The level of confidence that Amazon Comprehend has in the accuracy of its sentiment detection.
BatchDetectSyntaxItemResult
Description
The result of calling the operation. The operation returns one object that is successfully processed by the operation.
Members
- Index
-
- Type: int
The zero-based index of the document in the input list.
- SyntaxTokens
-
- Type: Array of SyntaxToken structures
The syntax tokens for the words in the document, one token for each word.
BatchDetectTargetedSentimentItemResult
Description
Analysis results for one of the documents in the batch.
Members
- Entities
-
- Type: Array of TargetedSentimentEntity structures
An array of targeted sentiment entities.
- Index
-
- Type: int
The zero-based index of this result in the input list.
BatchItemError
Description
Describes an error that occurred while processing a document in a batch. The operation returns on BatchItemError
object for each document that contained an error.
Members
- ErrorCode
-
- Type: string
The numeric error code of the error.
- ErrorMessage
-
- Type: string
A text description of the error.
- Index
-
- Type: int
The zero-based index of the document in the input list.
BatchSizeLimitExceededException
Description
The number of documents in the request exceeds the limit of 25. Try your request again with fewer documents.
Members
- Message
-
- Type: string
Block
Description
Information about each word or line of text in the input document.
For additional information, see Block in the Amazon Textract API reference.
Members
- BlockType
-
- Type: string
The block represents a line of text or one word of text.
-
WORD - A word that's detected on a document page. A word is one or more ISO basic Latin script characters that aren't separated by spaces.
-
LINE - A string of tab-delimited, contiguous words that are detected on a document page
- Geometry
-
- Type: Geometry structure
Co-ordinates of the rectangle or polygon that contains the text.
- Id
-
- Type: string
Unique identifier for the block.
- Page
-
- Type: int
Page number where the block appears.
- Relationships
-
- Type: Array of RelationshipsListItem structures
A list of child blocks of the current block. For example, a LINE object has child blocks for each WORD block that's part of the line of text.
- Text
-
- Type: string
The word or line of text extracted from the block.
BlockReference
Description
A reference to a block.
Members
- BeginOffset
-
- Type: int
Offset of the start of the block within its parent block.
- BlockId
-
- Type: string
Unique identifier for the block.
- ChildBlocks
-
- Type: Array of ChildBlock structures
List of child blocks within this block.
- EndOffset
-
- Type: int
Offset of the end of the block within its parent block.
BoundingBox
Description
The bounding box around the detected page or around an element on a document page. The left (x-coordinate) and top (y-coordinate) are coordinates that represent the top and left sides of the bounding box. Note that the upper-left corner of the image is the origin (0,0).
For additional information, see BoundingBox in the Amazon Textract API reference.
Members
- Height
-
- Type: float
The height of the bounding box as a ratio of the overall document page height.
- Left
-
- Type: float
The left coordinate of the bounding box as a ratio of overall document page width.
- Top
-
- Type: float
The top coordinate of the bounding box as a ratio of overall document page height.
- Width
-
- Type: float
The width of the bounding box as a ratio of the overall document page width.
ChildBlock
Description
Nested block contained within a block.
Members
- BeginOffset
-
- Type: int
Offset of the start of the child block within its parent block.
- ChildBlockId
-
- Type: string
Unique identifier for the child block.
- EndOffset
-
- Type: int
Offset of the end of the child block within its parent block.
ClassifierEvaluationMetrics
Description
Describes the result metrics for the test data associated with an documentation classifier.
Members
- Accuracy
-
- Type: double
The fraction of the labels that were correct recognized. It is computed by dividing the number of labels in the test documents that were correctly recognized by the total number of labels in the test documents.
- F1Score
-
- Type: double
A measure of how accurate the classifier results are for the test data. It is derived from the
Precision
andRecall
values. TheF1Score
is the harmonic average of the two scores. The highest score is 1, and the worst score is 0. - HammingLoss
-
- Type: double
Indicates the fraction of labels that are incorrectly predicted. Also seen as the fraction of wrong labels compared to the total number of labels. Scores closer to zero are better.
- MicroF1Score
-
- Type: double
A measure of how accurate the classifier results are for the test data. It is a combination of the
Micro Precision
andMicro Recall
values. TheMicro F1Score
is the harmonic mean of the two scores. The highest score is 1, and the worst score is 0. - MicroPrecision
-
- Type: double
A measure of the usefulness of the recognizer results in the test data. High precision means that the recognizer returned substantially more relevant results than irrelevant ones. Unlike the Precision metric which comes from averaging the precision of all available labels, this is based on the overall score of all precision scores added together.
- MicroRecall
-
- Type: double
A measure of how complete the classifier results are for the test data. High recall means that the classifier returned most of the relevant results. Specifically, this indicates how many of the correct categories in the text that the model can predict. It is a percentage of correct categories in the text that can found. Instead of averaging the recall scores of all labels (as with Recall), micro Recall is based on the overall score of all recall scores added together.
- Precision
-
- Type: double
A measure of the usefulness of the classifier results in the test data. High precision means that the classifier returned substantially more relevant results than irrelevant ones.
- Recall
-
- Type: double
A measure of how complete the classifier results are for the test data. High recall means that the classifier returned most of the relevant results.
ClassifierMetadata
Description
Provides information about a document classifier.
Members
- EvaluationMetrics
-
- Type: ClassifierEvaluationMetrics structure
Describes the result metrics for the test data associated with an documentation classifier.
- NumberOfLabels
-
- Type: int
The number of labels in the input data.
- NumberOfTestDocuments
-
- Type: int
The number of documents in the input data that were used to test the classifier. Typically this is 10 to 20 percent of the input documents, up to 10,000 documents.
- NumberOfTrainedDocuments
-
- Type: int
The number of documents in the input data that were used to train the classifier. Typically this is 80 to 90 percent of the input documents.
ConcurrentModificationException
Description
Concurrent modification of the tags associated with an Amazon Comprehend resource is not supported.
Members
- Message
-
- Type: string
DataSecurityConfig
Description
Data security configuration.
Members
- DataLakeKmsKeyId
-
- Type: string
ID for the KMS key that Amazon Comprehend uses to encrypt the data in the data lake.
- ModelKmsKeyId
-
- Type: string
ID for the KMS key that Amazon Comprehend uses to encrypt trained custom models. The ModelKmsKeyId can be either of the following formats:
-
KMS Key ID:
"1234abcd-12ab-34cd-56ef-1234567890ab"
-
Amazon Resource Name (ARN) of a KMS Key:
"arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab"
- VolumeKmsKeyId
-
- Type: string
ID for the KMS key that Amazon Comprehend uses to encrypt the volume.
- VpcConfig
-
- Type: VpcConfig structure
Configuration parameters for an optional private Virtual Private Cloud (VPC) containing the resources you are using for the job. For more information, see Amazon VPC.
DatasetAugmentedManifestsListItem
Description
An augmented manifest file that provides training data for your custom model. An augmented manifest file is a labeled dataset that is produced by Amazon SageMaker Ground Truth.
Members
- AnnotationDataS3Uri
-
- Type: string
The S3 prefix to the annotation files that are referred in the augmented manifest file.
- AttributeNames
-
- Required: Yes
- Type: Array of strings
The JSON attribute that contains the annotations for your training documents. The number of attribute names that you specify depends on whether your augmented manifest file is the output of a single labeling job or a chained labeling job.
If your file is the output of a single labeling job, specify the LabelAttributeName key that was used when the job was created in Ground Truth.
If your file is the output of a chained labeling job, specify the LabelAttributeName key for one or more jobs in the chain. Each LabelAttributeName key provides the annotations from an individual job.
- DocumentType
-
- Type: string
The type of augmented manifest. If you don't specify, the default is PlainTextDocument.
PLAIN_TEXT_DOCUMENT
A document type that represents any unicode text that is encoded in UTF-8. - S3Uri
-
- Required: Yes
- Type: string
The Amazon S3 location of the augmented manifest file.
- SourceDocumentsS3Uri
-
- Type: string
The S3 prefix to the source files (PDFs) that are referred to in the augmented manifest file.
DatasetDocumentClassifierInputDataConfig
Description
Describes the dataset input data configuration for a document classifier model.
For more information on how the input file is formatted, see Preparing training data in the Comprehend Developer Guide.
Members
- LabelDelimiter
-
- Type: string
Indicates the delimiter used to separate each label for training a multi-label classifier. The default delimiter between labels is a pipe (|). You can use a different character as a delimiter (if it's an allowed character) by specifying it under Delimiter for labels. If the training documents use a delimiter other than the default or the delimiter you specify, the labels on that line will be combined to make a single unique label, such as LABELLABELLABEL.
- S3Uri
-
- Required: Yes
- Type: string
The Amazon S3 URI for the input data. The S3 bucket must be in the same Region as the API endpoint that you are calling. The URI can point to a single input file or it can provide the prefix for a collection of input files.
For example, if you use the URI
S3://bucketName/prefix
, if the prefix is a single file, Amazon Comprehend uses that file as input. If more than one file begins with the prefix, Amazon Comprehend uses all of them as input.This parameter is required if you set
DataFormat
toCOMPREHEND_CSV
.
DatasetEntityRecognizerAnnotations
Description
Describes the annotations associated with a entity recognizer.
Members
- S3Uri
-
- Required: Yes
- Type: string
Specifies the Amazon S3 location where the training documents for an entity recognizer are located. The URI must be in the same Region as the API endpoint that you are calling.
DatasetEntityRecognizerDocuments
Description
Describes the documents submitted with a dataset for an entity recognizer model.
Members
- InputFormat
-
- Type: string
Specifies how the text in an input file should be processed. This is optional, and the default is ONE_DOC_PER_LINE. ONE_DOC_PER_FILE - Each file is considered a separate document. Use this option when you are processing large documents, such as newspaper articles or scientific papers. ONE_DOC_PER_LINE - Each line in a file is considered a separate document. Use this option when you are processing many short documents, such as text messages.
- S3Uri
-
- Required: Yes
- Type: string
Specifies the Amazon S3 location where the documents for the dataset are located.
DatasetEntityRecognizerEntityList
Description
Describes the dataset entity list for an entity recognizer model.
For more information on how the input file is formatted, see Preparing training data in the Comprehend Developer Guide.
Members
- S3Uri
-
- Required: Yes
- Type: string
Specifies the Amazon S3 location where the entity list is located.
DatasetEntityRecognizerInputDataConfig
Description
Specifies the format and location of the input data. You must provide either the Annotations
parameter or the EntityList
parameter.
Members
- Annotations
-
- Type: DatasetEntityRecognizerAnnotations structure
The S3 location of the annotation documents for your custom entity recognizer.
- Documents
-
- Required: Yes
- Type: DatasetEntityRecognizerDocuments structure
The format and location of the training documents for your custom entity recognizer.
- EntityList
-
- Type: DatasetEntityRecognizerEntityList structure
The S3 location of the entity list for your custom entity recognizer.
DatasetFilter
Description
Filter the datasets based on creation time or dataset status.
Members
- CreationTimeAfter
-
- Type: timestamp (string|DateTime or anything parsable by strtotime)
Filter the datasets to include datasets created after the specified time.
- CreationTimeBefore
-
- Type: timestamp (string|DateTime or anything parsable by strtotime)
Filter the datasets to include datasets created before the specified time.
- DatasetType
-
- Type: string
Filter the datasets based on the dataset type.
- Status
-
- Type: string
Filter the datasets based on the dataset status.
DatasetInputDataConfig
Description
Specifies the format and location of the input data for the dataset.
Members
- AugmentedManifests
-
- Type: Array of DatasetAugmentedManifestsListItem structures
A list of augmented manifest files that provide training data for your custom model. An augmented manifest file is a labeled dataset that is produced by Amazon SageMaker Ground Truth.
- DataFormat
-
- Type: string
COMPREHEND_CSV
: The data format is a two-column CSV file, where the first column contains labels and the second column contains documents.AUGMENTED_MANIFEST
: The data format - DocumentClassifierInputDataConfig
-
- Type: DatasetDocumentClassifierInputDataConfig structure
The input properties for training a document classifier model.
For more information on how the input file is formatted, see Preparing training data in the Comprehend Developer Guide.
- EntityRecognizerInputDataConfig
-
- Type: DatasetEntityRecognizerInputDataConfig structure
The input properties for training an entity recognizer model.
DatasetProperties
Description
Properties associated with the dataset.
Members
- CreationTime
-
- Type: timestamp (string|DateTime or anything parsable by strtotime)
Creation time of the dataset.
- DatasetArn
-
- Type: string
The ARN of the dataset.
- DatasetName
-
- Type: string
The name of the dataset.
- DatasetS3Uri
-
- Type: string
The S3 URI where the dataset is stored.
- DatasetType
-
- Type: string
The dataset type (training data or test data).
- Description
-
- Type: string
Description of the dataset.
- EndTime
-
- Type: timestamp (string|DateTime or anything parsable by strtotime)
Time when the data from the dataset becomes available in the data lake.
- Message
-
- Type: string
A description of the status of the dataset.
- NumberOfDocuments
-
- Type: long (int|float)
The number of documents in the dataset.
- Status
-
- Type: string
The dataset status. While the system creates the dataset, the status is
CREATING
. When the dataset is ready to use, the status changes toCOMPLETED
.
DocumentClass
Description
Specifies the class that categorizes the document being analyzed
Members
- Name
-
- Type: string
The name of the class.
- Page
-
- Type: int
Page number in the input document. This field is present in the response only if your request includes the
Byte
parameter. - Score
-
- Type: float
The confidence score that Amazon Comprehend has this class correctly attributed.
DocumentClassificationConfig
Description
Configuration required for a document classification model.
Members
- Labels
-
- Type: Array of strings
One or more labels to associate with the custom classifier.
- Mode
-
- Required: Yes
- Type: string
Classification mode indicates whether the documents are
MULTI_CLASS
orMULTI_LABEL
.
DocumentClassificationJobFilter
Description
Provides information for filtering a list of document classification jobs. For more information, see the operation. You can provide only one filter parameter in each request.
Members
- JobName
-
- Type: string
Filters on the name of the job.
- JobStatus
-
- Type: string
Filters the list based on job status. Returns only jobs with the specified status.
- SubmitTimeAfter
-
- Type: timestamp (string|DateTime or anything parsable by strtotime)
Filters the list of jobs based on the time that the job was submitted for processing. Returns only jobs submitted after the specified time. Jobs are returned in descending order, newest to oldest.
- SubmitTimeBefore
-
- Type: timestamp (string|DateTime or anything parsable by strtotime)
Filters the list of jobs based on the time that the job was submitted for processing. Returns only jobs submitted before the specified time. Jobs are returned in ascending order, oldest to newest.
DocumentClassificationJobProperties
Description
Provides information about a document classification job.
Members
- DataAccessRoleArn
-
- Type: string
The Amazon Resource Name (ARN) of the IAM role that grants Amazon Comprehend read access to your input data.
- DocumentClassifierArn
-
- Type: string
The Amazon Resource Name (ARN) that identifies the document classifier.
- EndTime
-
- Type: timestamp (string|DateTime or anything parsable by strtotime)
The time that the document classification job completed.
- FlywheelArn
-
- Type: string
The Amazon Resource Number (ARN) of the flywheel
- InputDataConfig
-
- Type: InputDataConfig structure
The input data configuration that you supplied when you created the document classification job.
- JobArn
-
- Type: string
The Amazon Resource Name (ARN) of the document classification job. It is a unique, fully qualified identifier for the job. It includes the Amazon Web Services account, Amazon Web Services Region, and the job ID. The format of the ARN is as follows:
arn:<partition>:comprehend:<region>:<account-id>:document-classification-job/<job-id>
The following is an example job ARN:
arn:aws:comprehend:us-west-2:111122223333:document-classification-job/1234abcd12ab34cd56ef1234567890ab
- JobId
-
- Type: string
The identifier assigned to the document classification job.
- JobName
-
- Type: string
The name that you assigned to the document classification job.
- JobStatus
-
- Type: string
The current status of the document classification job. If the status is
FAILED
, theMessage
field shows the reason for the failure. - Message
-
- Type: string
A description of the status of the job.
- OutputDataConfig
-
- Type: OutputDataConfig structure
The output data configuration that you supplied when you created the document classification job.
- SubmitTime
-
- Type: timestamp (string|DateTime or anything parsable by strtotime)
The time that the document classification job was submitted for processing.
- VolumeKmsKeyId
-
- Type: string
ID for the Amazon Web Services Key Management Service (KMS) key that Amazon Comprehend uses to encrypt data on the storage volume attached to the ML compute instance(s) that process the analysis job. The VolumeKmsKeyId can be either of the following formats:
-
KMS Key ID:
"1234abcd-12ab-34cd-56ef-1234567890ab"
-
Amazon Resource Name (ARN) of a KMS Key:
"arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab"
- VpcConfig
-
- Type: VpcConfig structure
Configuration parameters for a private Virtual Private Cloud (VPC) containing the resources you are using for your document classification job. For more information, see Amazon VPC.
DocumentClassifierDocuments
Description
The location of the training documents. This parameter is required in a request to create a semi-structured document classification model.
Members
- S3Uri
-
- Required: Yes
- Type: string
The S3 URI location of the training documents specified in the S3Uri CSV file.
- TestS3Uri
-
- Type: string
The S3 URI location of the test documents included in the TestS3Uri CSV file. This field is not required if you do not specify a test CSV file.
DocumentClassifierFilter
Description
Provides information for filtering a list of document classifiers. You can only specify one filtering parameter in a request. For more information, see the ListDocumentClassifiers
operation.
Members
- DocumentClassifierName
-
- Type: string
The name that you assigned to the document classifier
- Status
-
- Type: string
Filters the list of classifiers based on status.
- SubmitTimeAfter
-
- Type: timestamp (string|DateTime or anything parsable by strtotime)
Filters the list of classifiers based on the time that the classifier was submitted for processing. Returns only classifiers submitted after the specified time. Classifiers are returned in descending order, newest to oldest.
- SubmitTimeBefore
-
- Type: timestamp (string|DateTime or anything parsable by strtotime)
Filters the list of classifiers based on the time that the classifier was submitted for processing. Returns only classifiers submitted before the specified time. Classifiers are returned in ascending order, oldest to newest.
DocumentClassifierInputDataConfig
Description
The input properties for training a document classifier.
For more information on how the input file is formatted, see Preparing training data in the Comprehend Developer Guide.
Members
- AugmentedManifests
-
- Type: Array of AugmentedManifestsListItem structures
A list of augmented manifest files that provide training data for your custom model. An augmented manifest file is a labeled dataset that is produced by Amazon SageMaker Ground Truth.
This parameter is required if you set
DataFormat
toAUGMENTED_MANIFEST
. - DataFormat
-
- Type: string
The format of your training data:
-
COMPREHEND_CSV
: A two-column CSV file, where labels are provided in the first column, and documents are provided in the second. If you use this value, you must provide theS3Uri
parameter in your request. -
AUGMENTED_MANIFEST
: A labeled dataset that is produced by Amazon SageMaker Ground Truth. This file is in JSON lines format. Each line is a complete JSON object that contains a training document and its associated labels.If you use this value, you must provide the
AugmentedManifests
parameter in your request.
If you don't specify a value, Amazon Comprehend uses
COMPREHEND_CSV
as the default. - DocumentReaderConfig
-
- Type: DocumentReaderConfig structure
Provides configuration parameters to override the default actions for extracting text from PDF documents and image files.
By default, Amazon Comprehend performs the following actions to extract text from files, based on the input file type:
-
Word files - Amazon Comprehend parser extracts the text.
-
Digital PDF files - Amazon Comprehend parser extracts the text.
-
Image files and scanned PDF files - Amazon Comprehend uses the Amazon Textract
DetectDocumentText
API to extract the text.
DocumentReaderConfig
does not apply to plain text files or Word files.For image files and PDF documents, you can override these default actions using the fields listed below. For more information, see Setting text extraction options in the Comprehend Developer Guide.
- DocumentType
-
- Type: string
The type of input documents for training the model. Provide plain-text documents to create a plain-text model, and provide semi-structured documents to create a native document model.
- Documents
-
- Type: DocumentClassifierDocuments structure
The S3 location of the training documents. This parameter is required in a request to create a native document model.
- LabelDelimiter
-
- Type: string
Indicates the delimiter used to separate each label for training a multi-label classifier. The default delimiter between labels is a pipe (|). You can use a different character as a delimiter (if it's an allowed character) by specifying it under Delimiter for labels. If the training documents use a delimiter other than the default or the delimiter you specify, the labels on that line will be combined to make a single unique label, such as LABELLABELLABEL.
- S3Uri
-
- Type: string
The Amazon S3 URI for the input data. The S3 bucket must be in the same Region as the API endpoint that you are calling. The URI can point to a single input file or it can provide the prefix for a collection of input files.
For example, if you use the URI
S3://bucketName/prefix
, if the prefix is a single file, Amazon Comprehend uses that file as input. If more than one file begins with the prefix, Amazon Comprehend uses all of them as input.This parameter is required if you set
DataFormat
toCOMPREHEND_CSV
. - TestS3Uri
-
- Type: string
This specifies the Amazon S3 location that contains the test annotations for the document classifier. The URI must be in the same Amazon Web Services Region as the API endpoint that you are calling.
DocumentClassifierOutputDataConfig
Description
Provide the location for output data from a custom classifier job. This field is mandatory if you are training a native document model.
Members
- FlywheelStatsS3Prefix
-
- Type: string
The Amazon S3 prefix for the data lake location of the flywheel statistics.
- KmsKeyId
-
- Type: string
ID for the Amazon Web Services Key Management Service (KMS) key that Amazon Comprehend uses to encrypt the output results from an analysis job. The KmsKeyId can be one of the following formats:
-
KMS Key ID:
"1234abcd-12ab-34cd-56ef-1234567890ab"
-
Amazon Resource Name (ARN) of a KMS Key:
"arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab"
-
KMS Key Alias:
"alias/ExampleAlias"
-
ARN of a KMS Key Alias:
"arn:aws:kms:us-west-2:111122223333:alias/ExampleAlias"
- S3Uri
-
- Type: string
When you use the
OutputDataConfig
object while creating a custom classifier, you specify the Amazon S3 location where you want to write the confusion matrix and other output files. The URI must be in the same Region as the API endpoint that you are calling. The location is used as the prefix for the actual location of this output file.When the custom classifier job is finished, the service creates the output file in a directory specific to the job. The
S3Uri
field contains the location of the output file, calledoutput.tar.gz
. It is a compressed archive that contains the confusion matrix.
DocumentClassifierProperties
Description
Provides information about a document classifier.
Members
- ClassifierMetadata
-
- Type: ClassifierMetadata structure
Information about the document classifier, including the number of documents used for training the classifier, the number of documents used for test the classifier, and an accuracy rating.
- DataAccessRoleArn
-
- Type: string
The Amazon Resource Name (ARN) of the IAM role that grants Amazon Comprehend read access to your input data.
- DocumentClassifierArn
-
- Type: string
The Amazon Resource Name (ARN) that identifies the document classifier.
- EndTime
-
- Type: timestamp (string|DateTime or anything parsable by strtotime)
The time that training the document classifier completed.
- FlywheelArn
-
- Type: string
The Amazon Resource Number (ARN) of the flywheel
- InputDataConfig
-
- Type: DocumentClassifierInputDataConfig structure
The input data configuration that you supplied when you created the document classifier for training.
- LanguageCode
-
- Type: string
The language code for the language of the documents that the classifier was trained on.
- Message
-
- Type: string
Additional information about the status of the classifier.
- Mode
-
- Type: string
Indicates the mode in which the specific classifier was trained. This also indicates the format of input documents and the format of the confusion matrix. Each classifier can only be trained in one mode and this cannot be changed once the classifier is trained.
- ModelKmsKeyId
-
- Type: string
ID for the KMS key that Amazon Comprehend uses to encrypt trained custom models. The ModelKmsKeyId can be either of the following formats:
-
KMS Key ID:
"1234abcd-12ab-34cd-56ef-1234567890ab"
-
Amazon Resource Name (ARN) of a KMS Key:
"arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab"
- OutputDataConfig
-
- Type: DocumentClassifierOutputDataConfig structure
Provides output results configuration parameters for custom classifier jobs.
- SourceModelArn
-
- Type: string
The Amazon Resource Name (ARN) of the source model. This model was imported from a different Amazon Web Services account to create the document classifier model in your Amazon Web Services account.
- Status
-
- Type: string
The status of the document classifier. If the status is
TRAINED
the classifier is ready to use. If the status isTRAINED_WITH_WARNINGS
the classifier training succeeded, but you should review the warnings returned in theCreateDocumentClassifier
response.If the status is
FAILED
you can see additional information about why the classifier wasn't trained in theMessage
field. - SubmitTime
-
- Type: timestamp (string|DateTime or anything parsable by strtotime)
The time that the document classifier was submitted for training.
- TrainingEndTime
-
- Type: timestamp (string|DateTime or anything parsable by strtotime)
The time that training of the document classifier was completed. Indicates the time when the training completes on documentation classifiers. You are billed for the time interval between this time and the value of TrainingStartTime.
- TrainingStartTime
-
- Type: timestamp (string|DateTime or anything parsable by strtotime)
Indicates the time when the training starts on documentation classifiers. You are billed for the time interval between this time and the value of TrainingEndTime.
- VersionName
-
- Type: string
The version name that you assigned to the document classifier.
- VolumeKmsKeyId
-
- Type: string
ID for the Amazon Web Services Key Management Service (KMS) key that Amazon Comprehend uses to encrypt data on the storage volume attached to the ML compute instance(s) that process the analysis job. The VolumeKmsKeyId can be either of the following formats:
-
KMS Key ID:
"1234abcd-12ab-34cd-56ef-1234567890ab"
-
Amazon Resource Name (ARN) of a KMS Key:
"arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab"
- VpcConfig
-
- Type: VpcConfig structure
Configuration parameters for a private Virtual Private Cloud (VPC) containing the resources you are using for your custom classifier. For more information, see Amazon VPC.
DocumentClassifierSummary
Description
Describes information about a document classifier and its versions.
Members
- DocumentClassifierName
-
- Type: string
The name that you assigned the document classifier.
- LatestVersionCreatedAt
-
- Type: timestamp (string|DateTime or anything parsable by strtotime)
The time that the latest document classifier version was submitted for processing.
- LatestVersionName
-
- Type: string
The version name you assigned to the latest document classifier version.
- LatestVersionStatus
-
- Type: string
Provides the status of the latest document classifier version.
- NumberOfVersions
-
- Type: int
The number of versions you created.
DocumentLabel
Description
Specifies one of the label or labels that categorize the document being analyzed.
Members
- Name
-
- Type: string
The name of the label.
- Page
-
- Type: int
Page number where the label occurs. This field is present in the response only if your request includes the
Byte
parameter. - Score
-
- Type: float
The confidence score that Amazon Comprehend has this label correctly attributed.
DocumentMetadata
Description
Information about the document, discovered during text extraction.
Members
- ExtractedCharacters
-
- Type: Array of ExtractedCharactersListItem structures
List of pages in the document, with the number of characters extracted from each page.
- Pages
-
- Type: int
Number of pages in the document.
DocumentReaderConfig
Description
Provides configuration parameters to override the default actions for extracting text from PDF documents and image files.
By default, Amazon Comprehend performs the following actions to extract text from files, based on the input file type:
-
Word files - Amazon Comprehend parser extracts the text.
-
Digital PDF files - Amazon Comprehend parser extracts the text.
-
Image files and scanned PDF files - Amazon Comprehend uses the Amazon Textract
DetectDocumentText
API to extract the text.
DocumentReaderConfig
does not apply to plain text files or Word files.
For image files and PDF documents, you can override these default actions using the fields listed below. For more information, see Setting text extraction options in the Comprehend Developer Guide.
Members
- DocumentReadAction
-
- Required: Yes
- Type: string
This field defines the Amazon Textract API operation that Amazon Comprehend uses to extract text from PDF files and image files. Enter one of the following values:
-
TEXTRACT_DETECT_DOCUMENT_TEXT
- The Amazon Comprehend service uses theDetectDocumentText
API operation. -
TEXTRACT_ANALYZE_DOCUMENT
- The Amazon Comprehend service uses theAnalyzeDocument
API operation.
- DocumentReadMode
-
- Type: string
Determines the text extraction actions for PDF files. Enter one of the following values:
-
SERVICE_DEFAULT
- use the Amazon Comprehend service defaults for PDF files. -
FORCE_DOCUMENT_READ_ACTION
- Amazon Comprehend uses the Textract API specified by DocumentReadAction for all PDF files, including digital PDF files.
- FeatureTypes
-
- Type: Array of strings
Specifies the type of Amazon Textract features to apply. If you chose
TEXTRACT_ANALYZE_DOCUMENT
as the read action, you must specify one or both of the following values:-
TABLES
- Returns additional information about any tables that are detected in the input document. -
FORMS
- Returns additional information about any forms that are detected in the input document.
DocumentTypeListItem
Description
Document type for each page in the document.
Members
- Page
-
- Type: int
Page number.
- Type
-
- Type: string
Document type.
DominantLanguage
Description
Returns the code for the dominant language in the input text and the level of confidence that Amazon Comprehend has in the accuracy of the detection.
Members
- LanguageCode
-
- Type: string
The RFC 5646 language code for the dominant language. For more information about RFC 5646, see Tags for Identifying Languages on the IETF Tools web site.
- Score
-
- Type: float
The level of confidence that Amazon Comprehend has in the accuracy of the detection.
DominantLanguageDetectionJobFilter
Description
Provides information for filtering a list of dominant language detection jobs. For more information, see the operation.
Members
- JobName
-
- Type: string
Filters on the name of the job.
- JobStatus
-
- Type: string
Filters the list of jobs based on job status. Returns only jobs with the specified status.
- SubmitTimeAfter
-
- Type: timestamp (string|DateTime or anything parsable by strtotime)
Filters the list of jobs based on the time that the job was submitted for processing. Returns only jobs submitted after the specified time. Jobs are returned in descending order, newest to oldest.
- SubmitTimeBefore
-
- Type: timestamp (string|DateTime or anything parsable by strtotime)
Filters the list of jobs based on the time that the job was submitted for processing. Returns only jobs submitted before the specified time. Jobs are returned in ascending order, oldest to newest.
DominantLanguageDetectionJobProperties
Description
Provides information about a dominant language detection job.
Members
- DataAccessRoleArn
-
- Type: string
The Amazon Resource Name (ARN) of the IAM role that grants Amazon Comprehend read access to your input data.
- EndTime
-
- Type: timestamp (string|DateTime or anything parsable by strtotime)
The time that the dominant language detection job completed.
- InputDataConfig
-
- Type: InputDataConfig structure
The input data configuration that you supplied when you created the dominant language detection job.
- JobArn
-
- Type: string
The Amazon Resource Name (ARN) of the dominant language detection job. It is a unique, fully qualified identifier for the job. It includes the Amazon Web Services account, Amazon Web Services Region, and the job ID. The format of the ARN is as follows:
arn:<partition>:comprehend:<region>:<account-id>:dominant-language-detection-job/<job-id>
The following is an example job ARN:
arn:aws:comprehend:us-west-2:111122223333:dominant-language-detection-job/1234abcd12ab34cd56ef1234567890ab
- JobId
-
- Type: string
The identifier assigned to the dominant language detection job.
- JobName
-
- Type: string
The name that you assigned to the dominant language detection job.
- JobStatus
-
- Type: string
The current status of the dominant language detection job. If the status is
FAILED
, theMessage
field shows the reason for the failure. - Message
-
- Type: string
A description for the status of a job.
- OutputDataConfig
-
- Type: OutputDataConfig structure
The output data configuration that you supplied when you created the dominant language detection job.
- SubmitTime
-
- Type: timestamp (string|DateTime or anything parsable by strtotime)
The time that the dominant language detection job was submitted for processing.
- VolumeKmsKeyId
-
- Type: string
ID for the Amazon Web Services Key Management Service (KMS) key that Amazon Comprehend uses to encrypt data on the storage volume attached to the ML compute instance(s) that process the analysis job. The VolumeKmsKeyId can be either of the following formats:
-
KMS Key ID:
"1234abcd-12ab-34cd-56ef-1234567890ab"
-
Amazon Resource Name (ARN) of a KMS Key:
"arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab"
- VpcConfig
-
- Type: VpcConfig structure
Configuration parameters for a private Virtual Private Cloud (VPC) containing the resources you are using for your dominant language detection job. For more information, see Amazon VPC.
EndpointFilter
Description
The filter used to determine which endpoints are returned. You can filter jobs on their name, model, status, or the date and time that they were created. You can only set one filter at a time.
Members
- CreationTimeAfter
-
- Type: timestamp (string|DateTime or anything parsable by strtotime)
Specifies a date after which the returned endpoint or endpoints were created.
- CreationTimeBefore
-
- Type: timestamp (string|DateTime or anything parsable by strtotime)
Specifies a date before which the returned endpoint or endpoints were created.
- ModelArn
-
- Type: string
The Amazon Resource Number (ARN) of the model to which the endpoint is attached.
- Status
-
- Type: string
Specifies the status of the endpoint being returned. Possible values are: Creating, Ready, Updating, Deleting, Failed.
EndpointProperties
Description
Specifies information about the specified endpoint. For information about endpoints, see Managing endpoints.
Members
- CreationTime
-
- Type: timestamp (string|DateTime or anything parsable by strtotime)
The creation date and time of the endpoint.
- CurrentInferenceUnits
-
- Type: int
The number of inference units currently used by the model using this endpoint.
- DataAccessRoleArn
-
- Type: string
The Amazon Resource Name (ARN) of the IAM role that grants Amazon Comprehend read access to trained custom models encrypted with a customer managed key (ModelKmsKeyId).
- DesiredDataAccessRoleArn
-
- Type: string
Data access role ARN to use in case the new model is encrypted with a customer KMS key.
- DesiredInferenceUnits
-
- Type: int
The desired number of inference units to be used by the model using this endpoint. Each inference unit represents of a throughput of 100 characters per second.
- DesiredModelArn
-
- Type: string
ARN of the new model to use for updating an existing endpoint. This ARN is going to be different from the model ARN when the update is in progress
- EndpointArn
-
- Type: string
The Amazon Resource Number (ARN) of the endpoint.
- FlywheelArn
-
- Type: string
The Amazon Resource Number (ARN) of the flywheel
- LastModifiedTime
-
- Type: timestamp (string|DateTime or anything parsable by strtotime)
The date and time that the endpoint was last modified.
- Message
-
- Type: string
Specifies a reason for failure in cases of
Failed
status. - ModelArn
-
- Type: string
The Amazon Resource Number (ARN) of the model to which the endpoint is attached.
- Status
-
- Type: string
Specifies the status of the endpoint. Because the endpoint updates and creation are asynchronous, so customers will need to wait for the endpoint to be
Ready
status before making inference requests.
EntitiesDetectionJobFilter
Description
Provides information for filtering a list of dominant language detection jobs. For more information, see the operation.
Members
- JobName
-
- Type: string
Filters on the name of the job.
- JobStatus
-
- Type: string
Filters the list of jobs based on job status. Returns only jobs with the specified status.
- SubmitTimeAfter
-
- Type: timestamp (string|DateTime or anything parsable by strtotime)
Filters the list of jobs based on the time that the job was submitted for processing. Returns only jobs submitted after the specified time. Jobs are returned in descending order, newest to oldest.
- SubmitTimeBefore
-
- Type: timestamp (string|DateTime or anything parsable by strtotime)
Filters the list of jobs based on the time that the job was submitted for processing. Returns only jobs submitted before the specified time. Jobs are returned in ascending order, oldest to newest.
EntitiesDetectionJobProperties
Description
Provides information about an entities detection job.
Members
- DataAccessRoleArn
-
- Type: string
The Amazon Resource Name (ARN) of the IAM role that grants Amazon Comprehend read access to your input data.
- EndTime
-
- Type: timestamp (string|DateTime or anything parsable by strtotime)
The time that the entities detection job completed
- EntityRecognizerArn
-
- Type: string
The Amazon Resource Name (ARN) that identifies the entity recognizer.
- FlywheelArn
-
- Type: string
The Amazon Resource Name (ARN) of the flywheel associated with this job.
- InputDataConfig
-
- Type: InputDataConfig structure
The input data configuration that you supplied when you created the entities detection job.
- JobArn
-
- Type: string
The Amazon Resource Name (ARN) of the entities detection job. It is a unique, fully qualified identifier for the job. It includes the Amazon Web Services account, Amazon Web Services Region, and the job ID. The format of the ARN is as follows:
arn:<partition>:comprehend:<region>:<account-id>:entities-detection-job/<job-id>
The following is an example job ARN:
arn:aws:comprehend:us-west-2:111122223333:entities-detection-job/1234abcd12ab34cd56ef1234567890ab
- JobId
-
- Type: string
The identifier assigned to the entities detection job.
- JobName
-
- Type: string
The name that you assigned the entities detection job.
- JobStatus
-
- Type: string
The current status of the entities detection job. If the status is
FAILED
, theMessage
field shows the reason for the failure. - LanguageCode
-
- Type: string
The language code of the input documents.
- Message
-
- Type: string
A description of the status of a job.
- OutputDataConfig
-
- Type: OutputDataConfig structure
The output data configuration that you supplied when you created the entities detection job.
- SubmitTime
-
- Type: timestamp (string|DateTime or anything parsable by strtotime)
The time that the entities detection job was submitted for processing.
- VolumeKmsKeyId
-
- Type: string
ID for the Amazon Web Services Key Management Service (KMS) key that Amazon Comprehend uses to encrypt data on the storage volume attached to the ML compute instance(s) that process the analysis job. The VolumeKmsKeyId can be either of the following formats:
-
KMS Key ID:
"1234abcd-12ab-34cd-56ef-1234567890ab"
-
Amazon Resource Name (ARN) of a KMS Key:
"arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab"
- VpcConfig
-
- Type: VpcConfig structure
Configuration parameters for a private Virtual Private Cloud (VPC) containing the resources you are using for your entity detection job. For more information, see Amazon VPC.
Entity
Description
Provides information about an entity.
Members
- BeginOffset
-
- Type: int
The zero-based offset from the beginning of the source text to the first character in the entity.
This field is empty for non-text input.
- BlockReferences
-
- Type: Array of BlockReference structures
A reference to each block for this entity. This field is empty for plain-text input.
- EndOffset
-
- Type: int
The zero-based offset from the beginning of the source text to the last character in the entity.
This field is empty for non-text input.
- Score
-
- Type: float
The level of confidence that Amazon Comprehend has in the accuracy of the detection.
- Text
-
- Type: string
The text of the entity.
- Type
-
- Type: string
The entity type. For entity detection using the built-in model, this field contains one of the standard entity types listed below.
For custom entity detection, this field contains one of the entity types that you specified when you trained your custom model.
EntityLabel
Description
Specifies one of the label or labels that categorize the personally identifiable information (PII) entity being analyzed.
Members
- Name
-
- Type: string
The name of the label.
- Score
-
- Type: float
The level of confidence that Amazon Comprehend has in the accuracy of the detection.
EntityRecognitionConfig
Description
Configuration required for an entity recognition model.
Members
- EntityTypes
-
- Required: Yes
- Type: Array of EntityTypesListItem structures
Up to 25 entity types that the model is trained to recognize.
EntityRecognizerAnnotations
Description
Describes the annotations associated with a entity recognizer.
Members
- S3Uri
-
- Required: Yes
- Type: string
Specifies the Amazon S3 location where the annotations for an entity recognizer are located. The URI must be in the same Region as the API endpoint that you are calling.
- TestS3Uri
-
- Type: string
Specifies the Amazon S3 location where the test annotations for an entity recognizer are located. The URI must be in the same Region as the API endpoint that you are calling.
EntityRecognizerDocuments
Description
Describes the training documents submitted with an entity recognizer.
Members
- InputFormat
-
- Type: string
Specifies how the text in an input file should be processed. This is optional, and the default is ONE_DOC_PER_LINE. ONE_DOC_PER_FILE - Each file is considered a separate document. Use this option when you are processing large documents, such as newspaper articles or scientific papers. ONE_DOC_PER_LINE - Each line in a file is considered a separate document. Use this option when you are processing many short documents, such as text messages.
- S3Uri
-
- Required: Yes
- Type: string
Specifies the Amazon S3 location where the training documents for an entity recognizer are located. The URI must be in the same Region as the API endpoint that you are calling.
- TestS3Uri
-
- Type: string
Specifies the Amazon S3 location where the test documents for an entity recognizer are located. The URI must be in the same Amazon Web Services Region as the API endpoint that you are calling.
EntityRecognizerEntityList
Description
Describes the entity list submitted with an entity recognizer.
Members
- S3Uri
-
- Required: Yes
- Type: string
Specifies the Amazon S3 location where the entity list is located. The URI must be in the same Region as the API endpoint that you are calling.
EntityRecognizerEvaluationMetrics
Description
Detailed information about the accuracy of an entity recognizer.
Members
- F1Score
-
- Type: double
A measure of how accurate the recognizer results are for the test data. It is derived from the
Precision
andRecall
values. TheF1Score
is the harmonic average of the two scores. For plain text entity recognizer models, the range is 0 to 100, where 100 is the best score. For PDF/Word entity recognizer models, the range is 0 to 1, where 1 is the best score. - Precision
-
- Type: double
A measure of the usefulness of the recognizer results in the test data. High precision means that the recognizer returned substantially more relevant results than irrelevant ones.
- Recall
-
- Type: double
A measure of how complete the recognizer results are for the test data. High recall means that the recognizer returned most of the relevant results.
EntityRecognizerFilter
Description
Provides information for filtering a list of entity recognizers. You can only specify one filtering parameter in a request. For more information, see the ListEntityRecognizers
operation./>
Members
- RecognizerName
-
- Type: string
The name that you assigned the entity recognizer.
- Status
-
- Type: string
The status of an entity recognizer.
- SubmitTimeAfter
-
- Type: timestamp (string|DateTime or anything parsable by strtotime)
Filters the list of entities based on the time that the list was submitted for processing. Returns only jobs submitted after the specified time. Jobs are returned in ascending order, oldest to newest.
- SubmitTimeBefore
-
- Type: timestamp (string|DateTime or anything parsable by strtotime)
Filters the list of entities based on the time that the list was submitted for processing. Returns only jobs submitted before the specified time. Jobs are returned in descending order, newest to oldest.
EntityRecognizerInputDataConfig
Description
Specifies the format and location of the input data.
Members
- Annotations
-
- Type: EntityRecognizerAnnotations structure
The S3 location of the CSV file that annotates your training documents.
- AugmentedManifests
-
- Type: Array of AugmentedManifestsListItem structures
A list of augmented manifest files that provide training data for your custom model. An augmented manifest file is a labeled dataset that is produced by Amazon SageMaker Ground Truth.
This parameter is required if you set
DataFormat
toAUGMENTED_MANIFEST
. - DataFormat
-
- Type: string
The format of your training data:
-
COMPREHEND_CSV
: A CSV file that supplements your training documents. The CSV file contains information about the custom entities that your trained model will detect. The required format of the file depends on whether you are providing annotations or an entity list.If you use this value, you must provide your CSV file by using either the
Annotations
orEntityList
parameters. You must provide your training documents by using theDocuments
parameter. -
AUGMENTED_MANIFEST
: A labeled dataset that is produced by Amazon SageMaker Ground Truth. This file is in JSON lines format. Each line is a complete JSON object that contains a training document and its labels. Each label annotates a named entity in the training document.If you use this value, you must provide the
AugmentedManifests
parameter in your request.
If you don't specify a value, Amazon Comprehend uses
COMPREHEND_CSV
as the default. - Documents
-
- Type: EntityRecognizerDocuments structure
The S3 location of the folder that contains the training documents for your custom entity recognizer.
This parameter is required if you set
DataFormat
toCOMPREHEND_CSV
. - EntityList
-
- Type: EntityRecognizerEntityList structure
The S3 location of the CSV file that has the entity list for your custom entity recognizer.
- EntityTypes
-
- Required: Yes
- Type: Array of EntityTypesListItem structures
The entity types in the labeled training data that Amazon Comprehend uses to train the custom entity recognizer. Any entity types that you don't specify are ignored.
A maximum of 25 entity types can be used at one time to train an entity recognizer. Entity types must not contain the following invalid characters: \n (line break), \\n (escaped line break), \r (carriage return), \\r (escaped carriage return), \t (tab), \\t (escaped tab), space, and , (comma).
EntityRecognizerMetadata
Description
Detailed information about an entity recognizer.
Members
- EntityTypes
-
- Type: Array of EntityRecognizerMetadataEntityTypesListItem structures
Entity types from the metadata of an entity recognizer.
- EvaluationMetrics
-
- Type: EntityRecognizerEvaluationMetrics structure
Detailed information about the accuracy of an entity recognizer.
- NumberOfTestDocuments
-
- Type: int
The number of documents in the input data that were used to test the entity recognizer. Typically this is 10 to 20 percent of the input documents.
- NumberOfTrainedDocuments
-
- Type: int
The number of documents in the input data that were used to train the entity recognizer. Typically this is 80 to 90 percent of the input documents.
EntityRecognizerMetadataEntityTypesListItem
Description
Individual item from the list of entity types in the metadata of an entity recognizer.
Members
- EvaluationMetrics
-
- Type: EntityTypesEvaluationMetrics structure
Detailed information about the accuracy of the entity recognizer for a specific item on the list of entity types.
- NumberOfTrainMentions
-
- Type: int
Indicates the number of times the given entity type was seen in the training data.
- Type
-
- Type: string
Type of entity from the list of entity types in the metadata of an entity recognizer.
EntityRecognizerOutputDataConfig
Description
Output data configuration.
Members
- FlywheelStatsS3Prefix
-
- Type: string
The Amazon S3 prefix for the data lake location of the flywheel statistics.
EntityRecognizerProperties
Description
Describes information about an entity recognizer.
Members
- DataAccessRoleArn
-
- Type: string
The Amazon Resource Name (ARN) of the IAM role that grants Amazon Comprehend read access to your input data.
- EndTime
-
- Type: timestamp (string|DateTime or anything parsable by strtotime)
The time that the recognizer creation completed.
- EntityRecognizerArn
-
- Type: string
The Amazon Resource Name (ARN) that identifies the entity recognizer.
- FlywheelArn
-
- Type: string
The Amazon Resource Number (ARN) of the flywheel
- InputDataConfig
-
- Type: EntityRecognizerInputDataConfig structure
The input data properties of an entity recognizer.
- LanguageCode
-
- Type: string
The language of the input documents. All documents must be in the same language. Only English ("en") is currently supported.
- Message
-
- Type: string
A description of the status of the recognizer.
- ModelKmsKeyId
-
- Type: string
ID for the KMS key that Amazon Comprehend uses to encrypt trained custom models. The ModelKmsKeyId can be either of the following formats:
-
KMS Key ID:
"1234abcd-12ab-34cd-56ef-1234567890ab"
-
Amazon Resource Name (ARN) of a KMS Key:
"arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab"
- OutputDataConfig
-
- Type: EntityRecognizerOutputDataConfig structure
Output data configuration.
- RecognizerMetadata
-
- Type: EntityRecognizerMetadata structure
Provides information about an entity recognizer.
- SourceModelArn
-
- Type: string
The Amazon Resource Name (ARN) of the source model. This model was imported from a different Amazon Web Services account to create the entity recognizer model in your Amazon Web Services account.
- Status
-
- Type: string
Provides the status of the entity recognizer.
- SubmitTime
-
- Type: timestamp (string|DateTime or anything parsable by strtotime)
The time that the recognizer was submitted for processing.
- TrainingEndTime
-
- Type: timestamp (string|DateTime or anything parsable by strtotime)
The time that training of the entity recognizer was completed.
- TrainingStartTime
-
- Type: timestamp (string|DateTime or anything parsable by strtotime)
The time that training of the entity recognizer started.
- VersionName
-
- Type: string
The version name you assigned to the entity recognizer.
- VolumeKmsKeyId
-
- Type: string
ID for the Amazon Web Services Key Management Service (KMS) key that Amazon Comprehend uses to encrypt data on the storage volume attached to the ML compute instance(s) that process the analysis job. The VolumeKmsKeyId can be either of the following formats:
-
KMS Key ID:
"1234abcd-12ab-34cd-56ef-1234567890ab"
-
Amazon Resource Name (ARN) of a KMS Key:
"arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab"
- VpcConfig
-
- Type: VpcConfig structure
Configuration parameters for a private Virtual Private Cloud (VPC) containing the resources you are using for your custom entity recognizer. For more information, see Amazon VPC.
EntityRecognizerSummary
Description
Describes the information about an entity recognizer and its versions.
Members
- LatestVersionCreatedAt
-
- Type: timestamp (string|DateTime or anything parsable by strtotime)
The time that the latest entity recognizer version was submitted for processing.
- LatestVersionName
-
- Type: string
The version name you assigned to the latest entity recognizer version.
- LatestVersionStatus
-
- Type: string
Provides the status of the latest entity recognizer version.
- NumberOfVersions
-
- Type: int
The number of versions you created.
- RecognizerName
-
- Type: string
The name that you assigned the entity recognizer.
EntityTypesEvaluationMetrics
Description
Detailed information about the accuracy of an entity recognizer for a specific entity type.
Members
- F1Score
-
- Type: double
A measure of how accurate the recognizer results are for a specific entity type in the test data. It is derived from the
Precision
andRecall
values. TheF1Score
is the harmonic average of the two scores. The highest score is 1, and the worst score is 0. - Precision
-
- Type: double
A measure of the usefulness of the recognizer results for a specific entity type in the test data. High precision means that the recognizer returned substantially more relevant results than irrelevant ones.
- Recall
-
- Type: double
A measure of how complete the recognizer results are for a specific entity type in the test data. High recall means that the recognizer returned most of the relevant results.
EntityTypesListItem
Description
An entity type within a labeled training dataset that Amazon Comprehend uses to train a custom entity recognizer.
Members
- Type
-
- Required: Yes
- Type: string
An entity type within a labeled training dataset that Amazon Comprehend uses to train a custom entity recognizer.
Entity types must not contain the following invalid characters: \n (line break), \\n (escaped line break, \r (carriage return), \\r (escaped carriage return), \t (tab), \\t (escaped tab), and , (comma).
ErrorsListItem
Description
Text extraction encountered one or more page-level errors in the input document.
The ErrorCode
contains one of the following values:
-
TEXTRACT_BAD_PAGE - Amazon Textract cannot read the page. For more information about page limits in Amazon Textract, see Page Quotas in Amazon Textract.
-
TEXTRACT_PROVISIONED_THROUGHPUT_EXCEEDED - The number of requests exceeded your throughput limit. For more information about throughput quotas in Amazon Textract, see Default quotas in Amazon Textract.
-
PAGE_CHARACTERS_EXCEEDED - Too many text characters on the page (10,000 characters maximum).
-
PAGE_SIZE_EXCEEDED - The maximum page size is 10 MB.
-
INTERNAL_SERVER_ERROR - The request encountered a service issue. Try the API request again.
Members
- ErrorCode
-
- Type: string
Error code for the cause of the error.
- ErrorMessage
-
- Type: string
Text message explaining the reason for the error.
- Page
-
- Type: int
Page number where the error occurred.
EventsDetectionJobFilter
Description
Provides information for filtering a list of event detection jobs.
Members
- JobName
-
- Type: string
Filters on the name of the events detection job.
- JobStatus
-
- Type: string
Filters the list of jobs based on job status. Returns only jobs with the specified status.
- SubmitTimeAfter
-
- Type: timestamp (string|DateTime or anything parsable by strtotime)
Filters the list of jobs based on the time that the job was submitted for processing. Returns only jobs submitted after the specified time. Jobs are returned in descending order, newest to oldest.
- SubmitTimeBefore
-
- Type: timestamp (string|DateTime or anything parsable by strtotime)
Filters the list of jobs based on the time that the job was submitted for processing. Returns only jobs submitted before the specified time. Jobs are returned in ascending order, oldest to newest.
EventsDetectionJobProperties
Description
Provides information about an events detection job.
Members
- DataAccessRoleArn
-
- Type: string
The Amazon Resource Name (ARN) of the IAM role that grants Amazon Comprehend read access to your input data.
- EndTime
-
- Type: timestamp (string|DateTime or anything parsable by strtotime)
The time that the events detection job completed.
- InputDataConfig
-
- Type: InputDataConfig structure
The input data configuration that you supplied when you created the events detection job.
- JobArn
-
- Type: string
The Amazon Resource Name (ARN) of the events detection job. It is a unique, fully qualified identifier for the job. It includes the Amazon Web Services account, Amazon Web Services Region, and the job ID. The format of the ARN is as follows:
arn:<partition>:comprehend:<region>:<account-id>:events-detection-job/<job-id>
The following is an example job ARN:
arn:aws:comprehend:us-west-2:111122223333:events-detection-job/1234abcd12ab34cd56ef1234567890ab
- JobId
-
- Type: string
The identifier assigned to the events detection job.
- JobName
-
- Type: string
The name you assigned the events detection job.
- JobStatus
-
- Type: string
The current status of the events detection job.
- LanguageCode
-
- Type: string
The language code of the input documents.
- Message
-
- Type: string
A description of the status of the events detection job.
- OutputDataConfig
-
- Type: OutputDataConfig structure
The output data configuration that you supplied when you created the events detection job.
- SubmitTime
-
- Type: timestamp (string|DateTime or anything parsable by strtotime)
The time that the events detection job was submitted for processing.
- TargetEventTypes
-
- Type: Array of strings
The types of events that are detected by the job.
ExtractedCharactersListItem
Description
Array of the number of characters extracted from each page.
Members
- Count
-
- Type: int
Number of characters extracted from each page.
- Page
-
- Type: int
Page number.
FlywheelFilter
Description
Filter the flywheels based on creation time or flywheel status.
Members
- CreationTimeAfter
-
- Type: timestamp (string|DateTime or anything parsable by strtotime)
Filter the flywheels to include flywheels created after the specified time.
- CreationTimeBefore
-
- Type: timestamp (string|DateTime or anything parsable by strtotime)
Filter the flywheels to include flywheels created before the specified time.
- Status
-
- Type: string
Filter the flywheels based on the flywheel status.
FlywheelIterationFilter
Description
Filter the flywheel iterations based on creation time.
Members
- CreationTimeAfter
-
- Type: timestamp (string|DateTime or anything parsable by strtotime)
Filter the flywheel iterations to include iterations created after the specified time.
- CreationTimeBefore
-
- Type: timestamp (string|DateTime or anything parsable by strtotime)
Filter the flywheel iterations to include iterations created before the specified time.
FlywheelIterationProperties
Description
The configuration properties of a flywheel iteration.
Members
- CreationTime
-
- Type: timestamp (string|DateTime or anything parsable by strtotime)
The creation start time of the flywheel iteration.
- EndTime
-
- Type: timestamp (string|DateTime or anything parsable by strtotime)
The completion time of this flywheel iteration.
- EvaluatedModelArn
-
- Type: string
The ARN of the evaluated model associated with this flywheel iteration.
- EvaluatedModelMetrics
-
- Type: FlywheelModelEvaluationMetrics structure
The evaluation metrics associated with the evaluated model.
- EvaluationManifestS3Prefix
-
- Type: string
- FlywheelArn
-
- Type: string
- FlywheelIterationId
-
- Type: string
- Message
-
- Type: string
A description of the status of the flywheel iteration.
- Status
-
- Type: string
The status of the flywheel iteration.
- TrainedModelArn
-
- Type: string
The ARN of the trained model associated with this flywheel iteration.
- TrainedModelMetrics
-
- Type: FlywheelModelEvaluationMetrics structure
The metrics associated with the trained model.
FlywheelModelEvaluationMetrics
Description
The evaluation metrics associated with the evaluated model.
Members
- AverageAccuracy
-
- Type: double
Average accuracy metric for the model.
- AverageF1Score
-
- Type: double
The average F1 score from the evaluation metrics.
- AveragePrecision
-
- Type: double
Average precision metric for the model.
- AverageRecall
-
- Type: double
Average recall metric for the model.
FlywheelProperties
Description
The flywheel properties.
Members
- ActiveModelArn
-
- Type: string
The Amazon Resource Number (ARN) of the active model version.
- CreationTime
-
- Type: timestamp (string|DateTime or anything parsable by strtotime)
Creation time of the flywheel.
- DataAccessRoleArn
-
- Type: string
The Amazon Resource Name (ARN) of the IAM role that grants Amazon Comprehend permission to access the flywheel data.
- DataLakeS3Uri
-
- Type: string
Amazon S3 URI of the data lake location.
- DataSecurityConfig
-
- Type: DataSecurityConfig structure
Data security configuration.
- FlywheelArn
-
- Type: string
The Amazon Resource Number (ARN) of the flywheel.
- LastModifiedTime
-
- Type: timestamp (string|DateTime or anything parsable by strtotime)
Last modified time for the flywheel.
- LatestFlywheelIteration
-
- Type: string
The most recent flywheel iteration.
- Message
-
- Type: string
A description of the status of the flywheel.
- ModelType
-
- Type: string
Model type of the flywheel's model.
- Status
-
- Type: string
The status of the flywheel.
- TaskConfig
-
- Type: TaskConfig structure
Configuration about the model associated with a flywheel.
FlywheelSummary
Description
Flywheel summary information.
Members
- ActiveModelArn
-
- Type: string
ARN of the active model version for the flywheel.
- CreationTime
-
- Type: timestamp (string|DateTime or anything parsable by strtotime)
Creation time of the flywheel.
- DataLakeS3Uri
-
- Type: string
Amazon S3 URI of the data lake location.
- FlywheelArn
-
- Type: string
The Amazon Resource Number (ARN) of the flywheel
- LastModifiedTime
-
- Type: timestamp (string|DateTime or anything parsable by strtotime)
Last modified time for the flywheel.
- LatestFlywheelIteration
-
- Type: string
The most recent flywheel iteration.
- Message
-
- Type: string
A description of the status of the flywheel.
- ModelType
-
- Type: string
Model type of the flywheel's model.
- Status
-
- Type: string
The status of the flywheel.
Geometry
Description
Information about the location of items on a document page.
For additional information, see Geometry in the Amazon Textract API reference.
Members
- BoundingBox
-
- Type: BoundingBox structure
An axis-aligned coarse representation of the location of the recognized item on the document page.
- Polygon
-
- Type: Array of Point structures
Within the bounding box, a fine-grained polygon around the recognized item.
InputDataConfig
Description
The input properties for an inference job. The document reader config field applies only to non-text inputs for custom analysis.
Members
- DocumentReaderConfig
-
- Type: DocumentReaderConfig structure
Provides configuration parameters to override the default actions for extracting text from PDF documents and image files.
- InputFormat
-
- Type: string
Specifies how the text in an input file should be processed:
-
ONE_DOC_PER_FILE
- Each file is considered a separate document. Use this option when you are processing large documents, such as newspaper articles or scientific papers. -
ONE_DOC_PER_LINE
- Each line in a file is considered a separate document. Use this option when you are processing many short documents, such as text messages.
- S3Uri
-
- Required: Yes
- Type: string
The Amazon S3 URI for the input data. The URI must be in same Region as the API endpoint that you are calling. The URI can point to a single input file or it can provide the prefix for a collection of data files.
For example, if you use the URI
S3://bucketName/prefix
, if the prefix is a single file, Amazon Comprehend uses that file as input. If more than one file begins with the prefix, Amazon Comprehend uses all of them as input.
InternalServerException
Description
An internal server error occurred. Retry your request.
Members
- Message
-
- Type: string
InvalidFilterException
Description
The filter specified for the operation is invalid. Specify a different filter.
Members
- Message
-
- Type: string
InvalidRequestDetail
Description
Provides additional detail about why the request failed.
Members
- Reason
-
- Type: string
Reason codes include the following values:
-
DOCUMENT_SIZE_EXCEEDED - Document size is too large. Check the size of your file and resubmit the request.
-
UNSUPPORTED_DOC_TYPE - Document type is not supported. Check the file type and resubmit the request.
-
PAGE_LIMIT_EXCEEDED - Too many pages in the document. Check the number of pages in your file and resubmit the request.
-
TEXTRACT_ACCESS_DENIED - Access denied to Amazon Textract. Verify that your account has permission to use Amazon Textract API operations and resubmit the request.
-
NOT_TEXTRACT_JSON - Document is not Amazon Textract JSON format. Verify the format and resubmit the request.
-
MISMATCHED_TOTAL_PAGE_COUNT - Check the number of pages in your file and resubmit the request.
-
INVALID_DOCUMENT - Invalid document. Check the file and resubmit the request.
InvalidRequestException
Description
The request is invalid.
Members
- Detail
-
- Type: InvalidRequestDetail structure
Provides additional detail about why the request failed.
- Message
-
- Type: string
- Reason
-
- Type: string
JobNotFoundException
Description
The specified job was not found. Check the job ID and try again.
Members
- Message
-
- Type: string
KeyPhrase
Description
Describes a key noun phrase.
Members
- BeginOffset
-
- Type: int
The zero-based offset from the beginning of the source text to the first character in the key phrase.
- EndOffset
-
- Type: int
The zero-based offset from the beginning of the source text to the last character in the key phrase.
- Score
-
- Type: float
The level of confidence that Amazon Comprehend has in the accuracy of the detection.
- Text
-
- Type: string
The text of a key noun phrase.
KeyPhrasesDetectionJobFilter
Description
Provides information for filtering a list of dominant language detection jobs. For more information, see the operation.
Members
- JobName
-
- Type: string
Filters on the name of the job.
- JobStatus
-
- Type: string
Filters the list of jobs based on job status. Returns only jobs with the specified status.
- SubmitTimeAfter
-
- Type: timestamp (string|DateTime or anything parsable by strtotime)
Filters the list of jobs based on the time that the job was submitted for processing. Returns only jobs submitted after the specified time. Jobs are returned in descending order, newest to oldest.
- SubmitTimeBefore
-
- Type: timestamp (string|DateTime or anything parsable by strtotime)
Filters the list of jobs based on the time that the job was submitted for processing. Returns only jobs submitted before the specified time. Jobs are returned in ascending order, oldest to newest.
KeyPhrasesDetectionJobProperties
Description
Provides information about a key phrases detection job.
Members
- DataAccessRoleArn
-
- Type: string
The Amazon Resource Name (ARN) of the IAM role that grants Amazon Comprehend read access to your input data.
- EndTime
-
- Type: timestamp (string|DateTime or anything parsable by strtotime)
The time that the key phrases detection job completed.
- InputDataConfig
-
- Type: InputDataConfig structure
The input data configuration that you supplied when you created the key phrases detection job.
- JobArn
-
- Type: string
The Amazon Resource Name (ARN) of the key phrases detection job. It is a unique, fully qualified identifier for the job. It includes the Amazon Web Services account, Amazon Web Services Region, and the job ID. The format of the ARN is as follows:
arn:<partition>:comprehend:<region>:<account-id>:key-phrases-detection-job/<job-id>
The following is an example job ARN:
arn:aws:comprehend:us-west-2:111122223333:key-phrases-detection-job/1234abcd12ab34cd56ef1234567890ab
- JobId
-
- Type: string
The identifier assigned to the key phrases detection job.
- JobName
-
- Type: string
The name that you assigned the key phrases detection job.
- JobStatus
-
- Type: string
The current status of the key phrases detection job. If the status is
FAILED
, theMessage
field shows the reason for the failure. - LanguageCode
-
- Type: string
The language code of the input documents.
- Message
-
- Type: string
A description of the status of a job.
- OutputDataConfig
-
- Type: OutputDataConfig structure
The output data configuration that you supplied when you created the key phrases detection job.
- SubmitTime
-
- Type: timestamp (string|DateTime or anything parsable by strtotime)
The time that the key phrases detection job was submitted for processing.
- VolumeKmsKeyId
-
- Type: string
ID for the KMS key that Amazon Comprehend uses to encrypt data on the storage volume attached to the ML compute instance(s) that process the analysis job. The VolumeKmsKeyId can be either of the following formats:
-
KMS Key ID:
"1234abcd-12ab-34cd-56ef-1234567890ab"
-
Amazon Resource Name (ARN) of a KMS Key:
"arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab"
- VpcConfig
-
- Type: VpcConfig structure
Configuration parameters for a private Virtual Private Cloud (VPC) containing the resources you are using for your key phrases detection job. For more information, see Amazon VPC.
KmsKeyValidationException
Description
The KMS customer managed key (CMK) entered cannot be validated. Verify the key and re-enter it.
Members
- Message
-
- Type: string
MentionSentiment
Description
Contains the sentiment and sentiment score for one mention of an entity.
For more information about targeted sentiment, see Targeted sentiment in the Amazon Comprehend Developer Guide.
Members
- Sentiment
-
- Type: string
The sentiment of the mention.
- SentimentScore
-
- Type: SentimentScore structure
Describes the level of confidence that Amazon Comprehend has in the accuracy of its detection of sentiments.
OutputDataConfig
Description
Provides configuration parameters for the output of inference jobs.
Members
- KmsKeyId
-
- Type: string
ID for the Amazon Web Services Key Management Service (KMS) key that Amazon Comprehend uses to encrypt the output results from an analysis job. Specify the Key Id of a symmetric key, because you cannot use an asymmetric key for uploading data to S3.
The KmsKeyId can be one of the following formats:
-
KMS Key ID:
"1234abcd-12ab-34cd-56ef-1234567890ab"
-
Amazon Resource Name (ARN) of a KMS Key:
"arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab"
-
KMS Key Alias:
"alias/ExampleAlias"
-
ARN of a KMS Key Alias:
"arn:aws:kms:us-west-2:111122223333:alias/ExampleAlias"
- S3Uri
-
- Required: Yes
- Type: string
When you use the
OutputDataConfig
object with asynchronous operations, you specify the Amazon S3 location where you want to write the output data. The URI must be in the same Region as the API endpoint that you are calling. The location is used as the prefix for the actual location of the output file.When the topic detection job is finished, the service creates an output file in a directory specific to the job. The
S3Uri
field contains the location of the output file, calledoutput.tar.gz
. It is a compressed archive that contains the ouput of the operation.For a PII entity detection job, the output file is plain text, not a compressed archive. The output file name is the same as the input file, with
.out
appended at the end.
PartOfSpeechTag
Description
Identifies the part of speech represented by the token and gives the confidence that Amazon Comprehend has that the part of speech was correctly identified. For more information about the parts of speech that Amazon Comprehend can identify, see Syntax in the Comprehend Developer Guide.
Members
- Score
-
- Type: float
The confidence that Amazon Comprehend has that the part of speech was correctly identified.
- Tag
-
- Type: string
Identifies the part of speech that the token represents.
PiiEntitiesDetectionJobFilter
Description
Provides information for filtering a list of PII entity detection jobs.
Members
- JobName
-
- Type: string
Filters on the name of the job.
- JobStatus
-
- Type: string
Filters the list of jobs based on job status. Returns only jobs with the specified status.
- SubmitTimeAfter
-
- Type: timestamp (string|DateTime or anything parsable by strtotime)
Filters the list of jobs based on the time that the job was submitted for processing. Returns only jobs submitted after the specified time. Jobs are returned in descending order, newest to oldest.
- SubmitTimeBefore
-
- Type: timestamp (string|DateTime or anything parsable by strtotime)
Filters the list of jobs based on the time that the job was submitted for processing. Returns only jobs submitted before the specified time. Jobs are returned in ascending order, oldest to newest.
PiiEntitiesDetectionJobProperties
Description
Provides information about a PII entities detection job.
Members
- DataAccessRoleArn
-
- Type: string
The Amazon Resource Name (ARN) of the IAM role that grants Amazon Comprehend read access to your input data.
- EndTime
-
- Type: timestamp (string|DateTime or anything parsable by strtotime)
The time that the PII entities detection job completed.
- InputDataConfig
-
- Type: InputDataConfig structure
The input properties for a PII entities detection job.
- JobArn
-
- Type: string
The Amazon Resource Name (ARN) of the PII entities detection job. It is a unique, fully qualified identifier for the job. It includes the Amazon Web Services account, Amazon Web Services Region, and the job ID. The format of the ARN is as follows:
arn:<partition>:comprehend:<region>:<account-id>:pii-entities-detection-job/<job-id>
The following is an example job ARN:
arn:aws:comprehend:us-west-2:111122223333:pii-entities-detection-job/1234abcd12ab34cd56ef1234567890ab
- JobId
-
- Type: string
The identifier assigned to the PII entities detection job.
- JobName
-
- Type: string
The name that you assigned the PII entities detection job.
- JobStatus
-
- Type: string
The current status of the PII entities detection job. If the status is
FAILED
, theMessage
field shows the reason for the failure. - LanguageCode
-
- Type: string
The language code of the input documents.
- Message
-
- Type: string
A description of the status of a job.
- Mode
-
- Type: string
Specifies whether the output provides the locations (offsets) of PII entities or a file in which PII entities are redacted.
- OutputDataConfig
-
- Type: PiiOutputDataConfig structure
The output data configuration that you supplied when you created the PII entities detection job.
- RedactionConfig
-
- Type: RedactionConfig structure
Provides configuration parameters for PII entity redaction.
This parameter is required if you set the
Mode
parameter toONLY_REDACTION
. In that case, you must provide aRedactionConfig
definition that includes thePiiEntityTypes
parameter. - SubmitTime
-
- Type: timestamp (string|DateTime or anything parsable by strtotime)
The time that the PII entities detection job was submitted for processing.
PiiEntity
Description
Provides information about a PII entity.
Members
- BeginOffset
-
- Type: int
The zero-based offset from the beginning of the source text to the first character in the entity.
- EndOffset
-
- Type: int
The zero-based offset from the beginning of the source text to the last character in the entity.
- Score
-
- Type: float
The level of confidence that Amazon Comprehend has in the accuracy of the detection.
- Type
-
- Type: string
The entity's type.
PiiOutputDataConfig
Description
Provides configuration parameters for the output of PII entity detection jobs.
Members
- KmsKeyId
-
- Type: string
ID for the Amazon Web Services Key Management Service (KMS) key that Amazon Comprehend uses to encrypt the output results from an analysis job.
- S3Uri
-
- Required: Yes
- Type: string
When you use the
PiiOutputDataConfig
object with asynchronous operations, you specify the Amazon S3 location where you want to write the output data.For a PII entity detection job, the output file is plain text, not a compressed archive. The output file name is the same as the input file, with
.out
appended at the end.
Point
Description
The X and Y coordinates of a point on a document page.
For additional information, see Point in the Amazon Textract API reference.
Members
- X
-
- Type: float
The value of the X coordinate for a point on a polygon
- Y
-
- Type: float
The value of the Y coordinate for a point on a polygon
RedactionConfig
Description
Provides configuration parameters for PII entity redaction.
Members
- MaskCharacter
-
- Type: string
A character that replaces each character in the redacted PII entity.
- MaskMode
-
- Type: string
Specifies whether the PII entity is redacted with the mask character or the entity type.
- PiiEntityTypes
-
- Type: Array of strings
An array of the types of PII entities that Amazon Comprehend detects in the input text for your request.
RelationshipsListItem
Description
List of child blocks for the current block.
Members
- Ids
-
- Type: Array of strings
Identifers of the child blocks.
- Type
-
- Type: string
Only supported relationship is a child relationship.
ResourceInUseException
Description
The specified resource name is already in use. Use a different name and try your request again.
Members
- Message
-
- Type: string
ResourceLimitExceededException
Description
The maximum number of resources per account has been exceeded. Review the resources, and then try your request again.
Members
- Message
-
- Type: string
ResourceNotFoundException
Description
The specified resource ARN was not found. Check the ARN and try your request again.
Members
- Message
-
- Type: string
ResourceUnavailableException
Description
The specified resource is not available. Check the resource and try your request again.
Members
- Message
-
- Type: string
SentimentDetectionJobFilter
Description
Provides information for filtering a list of dominant language detection jobs. For more information, see the operation.
Members
- JobName
-
- Type: string
Filters on the name of the job.
- JobStatus
-
- Type: string
Filters the list of jobs based on job status. Returns only jobs with the specified status.
- SubmitTimeAfter
-
- Type: timestamp (string|DateTime or anything parsable by strtotime)
Filters the list of jobs based on the time that the job was submitted for processing. Returns only jobs submitted after the specified time. Jobs are returned in descending order, newest to oldest.
- SubmitTimeBefore
-
- Type: timestamp (string|DateTime or anything parsable by strtotime)
Filters the list of jobs based on the time that the job was submitted for processing. Returns only jobs submitted before the specified time. Jobs are returned in ascending order, oldest to newest.
SentimentDetectionJobProperties
Description
Provides information about a sentiment detection job.
Members
- DataAccessRoleArn
-
- Type: string
The Amazon Resource Name (ARN) of the IAM role that grants Amazon Comprehend read access to your input data.
- EndTime
-
- Type: timestamp (string|DateTime or anything parsable by strtotime)
The time that the sentiment detection job ended.
- InputDataConfig
-
- Type: InputDataConfig structure
The input data configuration that you supplied when you created the sentiment detection job.
- JobArn
-
- Type: string
The Amazon Resource Name (ARN) of the sentiment detection job. It is a unique, fully qualified identifier for the job. It includes the Amazon Web Services account, Amazon Web Services Region, and the job ID. The format of the ARN is as follows:
arn:<partition>:comprehend:<region>:<account-id>:sentiment-detection-job/<job-id>
The following is an example job ARN:
arn:aws:comprehend:us-west-2:111122223333:sentiment-detection-job/1234abcd12ab34cd56ef1234567890ab
- JobId
-
- Type: string
The identifier assigned to the sentiment detection job.
- JobName
-
- Type: string
The name that you assigned to the sentiment detection job
- JobStatus
-
- Type: string
The current status of the sentiment detection job. If the status is
FAILED
, theMessages
field shows the reason for the failure. - LanguageCode
-
- Type: string
The language code of the input documents.
- Message
-
- Type: string
A description of the status of a job.
- OutputDataConfig
-
- Type: OutputDataConfig structure
The output data configuration that you supplied when you created the sentiment detection job.
- SubmitTime
-
- Type: timestamp (string|DateTime or anything parsable by strtotime)
The time that the sentiment detection job was submitted for processing.
- VolumeKmsKeyId
-
- Type: string
ID for the Amazon Web Services Key Management Service (KMS) key that Amazon Comprehend uses to encrypt data on the storage volume attached to the ML compute instance(s) that process the analysis job. The VolumeKmsKeyId can be either of the following formats:
-
KMS Key ID:
"1234abcd-12ab-34cd-56ef-1234567890ab"
-
Amazon Resource Name (ARN) of a KMS Key:
"arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab"
- VpcConfig
-
- Type: VpcConfig structure
Configuration parameters for a private Virtual Private Cloud (VPC) containing the resources you are using for your sentiment detection job. For more information, see Amazon VPC.
SentimentScore
Description
Describes the level of confidence that Amazon Comprehend has in the accuracy of its detection of sentiments.
Members
- Mixed
-
- Type: float
The level of confidence that Amazon Comprehend has in the accuracy of its detection of the
MIXED
sentiment. - Negative
-
- Type: float
The level of confidence that Amazon Comprehend has in the accuracy of its detection of the
NEGATIVE
sentiment. - Neutral
-
- Type: float
The level of confidence that Amazon Comprehend has in the accuracy of its detection of the
NEUTRAL
sentiment. - Positive
-
- Type: float
The level of confidence that Amazon Comprehend has in the accuracy of its detection of the
POSITIVE
sentiment.
SyntaxToken
Description
Represents a work in the input text that was recognized and assigned a part of speech. There is one syntax token record for each word in the source text.
Members
- BeginOffset
-
- Type: int
The zero-based offset from the beginning of the source text to the first character in the word.
- EndOffset
-
- Type: int
The zero-based offset from the beginning of the source text to the last character in the word.
- PartOfSpeech
-
- Type: PartOfSpeechTag structure
Provides the part of speech label and the confidence level that Amazon Comprehend has that the part of speech was correctly identified. For more information, see Syntax in the Comprehend Developer Guide.
- Text
-
- Type: string
The word that was recognized in the source text.
- TokenId
-
- Type: int
A unique identifier for a token.
Tag
Description
A key-value pair that adds as a metadata to a resource used by Amazon Comprehend. For example, a tag with the key-value pair ‘Department’:’Sales’ might be added to a resource to indicate its use by a particular department.
Members
- Key
-
- Required: Yes
- Type: string
The initial part of a key-value pair that forms a tag associated with a given resource. For instance, if you want to show which resources are used by which departments, you might use “Department” as the key portion of the pair, with multiple possible values such as “sales,” “legal,” and “administration.”
- Value
-
- Type: string
The second part of a key-value pair that forms a tag associated with a given resource. For instance, if you want to show which resources are used by which departments, you might use “Department” as the initial (key) portion of the pair, with a value of “sales” to indicate the sales department.
TargetedSentimentDetectionJobFilter
Description
Provides information for filtering a list of dominant language detection jobs. For more information, see the ListTargetedSentimentDetectionJobs
operation.
Members
- JobName
-
- Type: string
Filters on the name of the job.
- JobStatus
-
- Type: string
Filters the list of jobs based on job status. Returns only jobs with the specified status.
- SubmitTimeAfter
-
- Type: timestamp (string|DateTime or anything parsable by strtotime)
Filters the list of jobs based on the time that the job was submitted for processing. Returns only jobs submitted after the specified time. Jobs are returned in descending order, newest to oldest.
- SubmitTimeBefore
-
- Type: timestamp (string|DateTime or anything parsable by strtotime)
Filters the list of jobs based on the time that the job was submitted for processing. Returns only jobs submitted before the specified time. Jobs are returned in ascending order, oldest to newest.
TargetedSentimentDetectionJobProperties
Description
Provides information about a targeted sentiment detection job.
Members
- DataAccessRoleArn
-
- Type: string
The Amazon Resource Name (ARN) of the IAM role that grants Amazon Comprehend read access to your input data.
- EndTime
-
- Type: timestamp (string|DateTime or anything parsable by strtotime)
The time that the targeted sentiment detection job ended.
- InputDataConfig
-
- Type: InputDataConfig structure
The input properties for an inference job. The document reader config field applies only to non-text inputs for custom analysis.
- JobArn
-
- Type: string
The Amazon Resource Name (ARN) of the targeted sentiment detection job. It is a unique, fully qualified identifier for the job. It includes the Amazon Web Services account, Amazon Web Services Region, and the job ID. The format of the ARN is as follows:
arn:<partition>:comprehend:<region>:<account-id>:targeted-sentiment-detection-job/<job-id>
The following is an example job ARN:
arn:aws:comprehend:us-west-2:111122223333:targeted-sentiment-detection-job/1234abcd12ab34cd56ef1234567890ab
- JobId
-
- Type: string
The identifier assigned to the targeted sentiment detection job.
- JobName
-
- Type: string
The name that you assigned to the targeted sentiment detection job.
- JobStatus
-
- Type: string
The current status of the targeted sentiment detection job. If the status is
FAILED
, theMessages
field shows the reason for the failure. - LanguageCode
-
- Type: string
The language code of the input documents.
- Message
-
- Type: string
A description of the status of a job.
- OutputDataConfig
-
- Type: OutputDataConfig structure
Provides configuration parameters for the output of inference jobs.
- SubmitTime
-
- Type: timestamp (string|DateTime or anything parsable by strtotime)
The time that the targeted sentiment detection job was submitted for processing.
- VolumeKmsKeyId
-
- Type: string
ID for the KMS key that Amazon Comprehend uses to encrypt the data on the storage volume attached to the ML compute instance(s) that process the targeted sentiment detection job. The VolumeKmsKeyId can be either of the following formats:
-
KMS Key ID:
"1234abcd-12ab-34cd-56ef-1234567890ab"
-
Amazon Resource Name (ARN) of a KMS Key:
"arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab"
- VpcConfig
-
- Type: VpcConfig structure
Configuration parameters for an optional private Virtual Private Cloud (VPC) containing the resources you are using for the job. For more information, see Amazon VPC.
TargetedSentimentEntity
Description
Information about one of the entities found by targeted sentiment analysis.
For more information about targeted sentiment, see Targeted sentiment in the Amazon Comprehend Developer Guide.
Members
- DescriptiveMentionIndex
-
- Type: Array of ints
One or more index into the Mentions array that provides the best name for the entity group.
- Mentions
-
- Type: Array of TargetedSentimentMention structures
An array of mentions of the entity in the document. The array represents a co-reference group. See Co-reference group for an example.
TargetedSentimentMention
Description
Information about one mention of an entity. The mention information includes the location of the mention in the text and the sentiment of the mention.
For more information about targeted sentiment, see Targeted sentiment in the Amazon Comprehend Developer Guide.
Members
- BeginOffset
-
- Type: int
The offset into the document text where the mention begins.
- EndOffset
-
- Type: int
The offset into the document text where the mention ends.
- GroupScore
-
- Type: float
The confidence that all the entities mentioned in the group relate to the same entity.
- MentionSentiment
-
- Type: MentionSentiment structure
Contains the sentiment and sentiment score for the mention.
- Score
-
- Type: float
Model confidence that the entity is relevant. Value range is zero to one, where one is highest confidence.
- Text
-
- Type: string
The text in the document that identifies the entity.
- Type
-
- Type: string
The type of the entity. Amazon Comprehend supports a variety of entity types.
TaskConfig
Description
Configuration about the model associated with a flywheel.
Members
- DocumentClassificationConfig
-
- Type: DocumentClassificationConfig structure
Configuration required for a document classification model.
- EntityRecognitionConfig
-
- Type: EntityRecognitionConfig structure
Configuration required for an entity recognition model.
- LanguageCode
-
- Required: Yes
- Type: string
Language code for the language that the model supports.
TextSegment
Description
One of the of text strings. Each string has a size limit of 1KB.
Members
- Text
-
- Required: Yes
- Type: string
The text content.
TextSizeLimitExceededException
Description
The size of the input text exceeds the limit. Use a smaller document.
Members
- Message
-
- Type: string
TooManyRequestsException
Description
The number of requests exceeds the limit. Resubmit your request later.
Members
- Message
-
- Type: string
TooManyTagKeysException
Description
The request contains more tag keys than can be associated with a resource (50 tag keys per resource).
Members
- Message
-
- Type: string
TooManyTagsException
Description
The request contains more tags than can be associated with a resource (50 tags per resource). The maximum number of tags includes both existing tags and those included in your current request.
Members
- Message
-
- Type: string
TopicsDetectionJobFilter
Description
Provides information for filtering topic detection jobs. For more information, see .
Members
- JobName
-
- Type: string
- JobStatus
-
- Type: string
Filters the list of topic detection jobs based on job status. Returns only jobs with the specified status.
- SubmitTimeAfter
-
- Type: timestamp (string|DateTime or anything parsable by strtotime)
Filters the list of jobs based on the time that the job was submitted for processing. Only returns jobs submitted after the specified time. Jobs are returned in ascending order, oldest to newest.
- SubmitTimeBefore
-
- Type: timestamp (string|DateTime or anything parsable by strtotime)
Filters the list of jobs based on the time that the job was submitted for processing. Only returns jobs submitted before the specified time. Jobs are returned in descending order, newest to oldest.
TopicsDetectionJobProperties
Description
Provides information about a topic detection job.
Members
- DataAccessRoleArn
-
- Type: string
The Amazon Resource Name (ARN) of the IAM role that grants Amazon Comprehend read access to your job data.
- EndTime
-
- Type: timestamp (string|DateTime or anything parsable by strtotime)
The time that the topic detection job was completed.
- InputDataConfig
-
- Type: InputDataConfig structure
The input data configuration supplied when you created the topic detection job.
- JobArn
-
- Type: string
The Amazon Resource Name (ARN) of the topics detection job. It is a unique, fully qualified identifier for the job. It includes the Amazon Web Services account, Amazon Web Services Region, and the job ID. The format of the ARN is as follows:
arn:<partition>:comprehend:<region>:<account-id>:topics-detection-job/<job-id>
The following is an example job ARN:
arn:aws:comprehend:us-west-2:111122223333:topics-detection-job/1234abcd12ab34cd56ef1234567890ab
- JobId
-
- Type: string
The identifier assigned to the topic detection job.
- JobName
-
- Type: string
The name of the topic detection job.
- JobStatus
-
- Type: string
The current status of the topic detection job. If the status is
Failed
, the reason for the failure is shown in theMessage
field. - Message
-
- Type: string
A description for the status of a job.
- NumberOfTopics
-
- Type: int
The number of topics to detect supplied when you created the topic detection job. The default is 10.
- OutputDataConfig
-
- Type: OutputDataConfig structure
The output data configuration supplied when you created the topic detection job.
- SubmitTime
-
- Type: timestamp (string|DateTime or anything parsable by strtotime)
The time that the topic detection job was submitted for processing.
- VolumeKmsKeyId
-
- Type: string
ID for the Amazon Web Services Key Management Service (KMS) key that Amazon Comprehend uses to encrypt data on the storage volume attached to the ML compute instance(s) that process the analysis job. The VolumeKmsKeyId can be either of the following formats:
-
KMS Key ID:
"1234abcd-12ab-34cd-56ef-1234567890ab"
-
Amazon Resource Name (ARN) of a KMS Key:
"arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab"
- VpcConfig
-
- Type: VpcConfig structure
Configuration parameters for a private Virtual Private Cloud (VPC) containing the resources you are using for your topic detection job. For more information, see Amazon VPC.
ToxicContent
Description
Toxic content analysis result for one string. For more information about toxicity detection, see Toxicity detection in the Amazon Comprehend Developer Guide
Members
- Name
-
- Type: string
The name of the toxic content type.
- Score
-
- Type: float
Model confidence in the detected content type. Value range is zero to one, where one is highest confidence.
ToxicLabels
Description
Toxicity analysis result for one string. For more information about toxicity detection, see Toxicity detection in the Amazon Comprehend Developer Guide.
Members
- Labels
-
- Type: Array of ToxicContent structures
Array of toxic content types identified in the string.
- Toxicity
-
- Type: float
Overall toxicity score for the string. Value range is zero to one, where one is the highest confidence.
UnsupportedLanguageException
Description
Amazon Comprehend can't process the language of the input text. For a list of supported languages, Supported languages in the Comprehend Developer Guide.
Members
- Message
-
- Type: string
UpdateDataSecurityConfig
Description
Data security configuration.
Members
- ModelKmsKeyId
-
- Type: string
ID for the KMS key that Amazon Comprehend uses to encrypt trained custom models. The ModelKmsKeyId can be either of the following formats:
-
KMS Key ID:
"1234abcd-12ab-34cd-56ef-1234567890ab"
-
Amazon Resource Name (ARN) of a KMS Key:
"arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab"
- VolumeKmsKeyId
-
- Type: string
ID for the KMS key that Amazon Comprehend uses to encrypt the volume.
- VpcConfig
-
- Type: VpcConfig structure
Configuration parameters for an optional private Virtual Private Cloud (VPC) containing the resources you are using for the job. For more information, see Amazon VPC.
VpcConfig
Description
Configuration parameters for an optional private Virtual Private Cloud (VPC) containing the resources you are using for the job. For more information, see Amazon VPC.
Members
- SecurityGroupIds
-
- Required: Yes
- Type: Array of strings
The ID number for a security group on an instance of your private VPC. Security groups on your VPC function serve as a virtual firewall to control inbound and outbound traffic and provides security for the resources that you’ll be accessing on the VPC. This ID number is preceded by "sg-", for instance: "sg-03b388029b0a285ea". For more information, see Security Groups for your VPC.
- Subnets
-
- Required: Yes
- Type: Array of strings
The ID for each subnet being used in your private VPC. This subnet is a subset of the a range of IPv4 addresses used by the VPC and is specific to a given availability zone in the VPC’s Region. This ID number is preceded by "subnet-", for instance: "subnet-04ccf456919e69055". For more information, see VPCs and Subnets.
WarningsListItem
Description
The system identified one of the following warnings while processing the input document:
-
The document to classify is plain text, but the classifier is a native document model.
-
The document to classify is semi-structured, but the classifier is a plain-text model.
Members
- Page
-
- Type: int
Page number in the input document.
- WarnCode
-
- Type: string
The type of warning.
- WarnMessage
-
- Type: string
Text message associated with the warning.