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[ aws . comprehend ]

batch-detect-entities

Description

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.

See also: AWS API Documentation

Synopsis

  batch-detect-entities
--text-list <value>
--language-code <value>
[--cli-input-json <value>]
[--generate-cli-skeleton <value>]
[--debug]
[--endpoint-url <value>]
[--no-verify-ssl]
[--no-paginate]
[--output <value>]
[--query <value>]
[--profile <value>]
[--region <value>]
[--version <value>]
[--color <value>]
[--no-sign-request]
[--ca-bundle <value>]
[--cli-read-timeout <value>]
[--cli-connect-timeout <value>]

Options

--text-list (list)

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.

(string)

Syntax:

"string" "string" ...

--language-code (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.

Possible values:

  • en
  • es
  • fr
  • de
  • it
  • pt
  • ar
  • hi
  • ja
  • ko
  • zh
  • zh-TW

--cli-input-json (string) Performs service operation based on the JSON string provided. The JSON string follows the format provided by --generate-cli-skeleton. If other arguments are provided on the command line, the CLI values will override the JSON-provided values. It is not possible to pass arbitrary binary values using a JSON-provided value as the string will be taken literally.

--generate-cli-skeleton (string) Prints a JSON skeleton to standard output without sending an API request. If provided with no value or the value input, prints a sample input JSON that can be used as an argument for --cli-input-json. If provided with the value output, it validates the command inputs and returns a sample output JSON for that command.

Global Options

--debug (boolean)

Turn on debug logging.

--endpoint-url (string)

Override command's default URL with the given URL.

--no-verify-ssl (boolean)

By default, the AWS CLI uses SSL when communicating with AWS services. For each SSL connection, the AWS CLI will verify SSL certificates. This option overrides the default behavior of verifying SSL certificates.

--no-paginate (boolean)

Disable automatic pagination. If automatic pagination is disabled, the AWS CLI will only make one call, for the first page of results.

--output (string)

The formatting style for command output.

  • json
  • text
  • table

--query (string)

A JMESPath query to use in filtering the response data.

--profile (string)

Use a specific profile from your credential file.

--region (string)

The region to use. Overrides config/env settings.

--version (string)

Display the version of this tool.

--color (string)

Turn on/off color output.

  • on
  • off
  • auto

--no-sign-request (boolean)

Do not sign requests. Credentials will not be loaded if this argument is provided.

--ca-bundle (string)

The CA certificate bundle to use when verifying SSL certificates. Overrides config/env settings.

--cli-read-timeout (int)

The maximum socket read time in seconds. If the value is set to 0, the socket read will be blocking and not timeout. The default value is 60 seconds.

--cli-connect-timeout (int)

The maximum socket connect time in seconds. If the value is set to 0, the socket connect will be blocking and not timeout. The default value is 60 seconds.

Examples

Note

To use the following examples, you must have the AWS CLI installed and configured. See the Getting started guide in the AWS CLI User Guide for more information.

Unless otherwise stated, all examples have unix-like quotation rules. These examples will need to be adapted to your terminal's quoting rules. See Using quotation marks with strings in the AWS CLI User Guide .

To detect entities from multiple input texts

The following batch-detect-entities example analyzes multiple input texts and returns the named entities of each. The pre-trained model's confidence score is also output for each prediction.

aws comprehend batch-detect-entities \
    --language-code en \
    --text-list "Dear Jane, Your AnyCompany Financial Services LLC credit card account 1111-XXXX-1111-XXXX has a minimum payment of $24.53 that is due by July 31st." "Please send customer feedback to Sunshine Spa, 123 Main St, Anywhere or to Alice at AnySpa@example.com."

Output:

{
    "ResultList": [
        {
            "Index": 0,
            "Entities": [
                {
                    "Score": 0.9985517859458923,
                    "Type": "PERSON",
                    "Text": "Jane",
                    "BeginOffset": 5,
                    "EndOffset": 9
                },
                {
                    "Score": 0.9767839312553406,
                    "Type": "ORGANIZATION",
                    "Text": "AnyCompany Financial Services, LLC",
                    "BeginOffset": 16,
                    "EndOffset": 50
                },
                {
                    "Score": 0.9856694936752319,
                    "Type": "OTHER",
                    "Text": "1111-XXXX-1111-XXXX",
                    "BeginOffset": 71,
                    "EndOffset": 90
                },
                {
                    "Score": 0.9652159810066223,
                    "Type": "QUANTITY",
                    "Text": ".53",
                    "BeginOffset": 116,
                    "EndOffset": 119
                },
                {
                    "Score": 0.9986667037010193,
                    "Type": "DATE",
                    "Text": "July 31st",
                    "BeginOffset": 135,
                    "EndOffset": 144
                }
            ]
        },
        {
            "Index": 1,
            "Entities": [
                {
                    "Score": 0.720084547996521,
                    "Type": "ORGANIZATION",
                    "Text": "Sunshine Spa",
                    "BeginOffset": 33,
                    "EndOffset": 45
                },
                {
                    "Score": 0.9865870475769043,
                    "Type": "LOCATION",
                    "Text": "123 Main St",
                    "BeginOffset": 47,
                    "EndOffset": 58
                },
                {
                    "Score": 0.5895616412162781,
                    "Type": "LOCATION",
                    "Text": "Anywhere",
                    "BeginOffset": 60,
                    "EndOffset": 68
                },
                {
                    "Score": 0.6809214353561401,
                    "Type": "PERSON",
                    "Text": "Alice",
                    "BeginOffset": 75,
                    "EndOffset": 80
                },
                {
                    "Score": 0.9979087114334106,
                    "Type": "OTHER",
                    "Text": "AnySpa@example.com",
                    "BeginOffset": 84,
                    "EndOffset": 99
                }
            ]
        }
    ],
    "ErrorList": []
}

For more information, see Entities in the Amazon Comprehend Developer Guide.

Output

ResultList -> (list)

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, the ResultList is empty.

(structure)

The result of calling the operation. The operation returns one object for each document that is successfully processed by the operation.

Index -> (integer)

The zero-based index of the document in the input list.

Entities -> (list)

One or more Entity objects, one for each entity detected in the document.

(structure)

Provides information about an entity.

Score -> (float)

The level of confidence that Amazon Comprehend has in the accuracy of the detection.

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.

Text -> (string)

The text of the entity.

BeginOffset -> (integer)

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.

EndOffset -> (integer)

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.

BlockReferences -> (list)

A reference to each block for this entity. This field is empty for plain-text input.

(structure)

A reference to a block.

BlockId -> (string)

Unique identifier for the block.

BeginOffset -> (integer)

Offset of the start of the block within its parent block.

EndOffset -> (integer)

Offset of the end of the block within its parent block.

ChildBlocks -> (list)

List of child blocks within this block.

(structure)

Nested block contained within a block.

ChildBlockId -> (string)

Unique identifier for the child block.

BeginOffset -> (integer)

Offset of the start of the child block within its parent block.

EndOffset -> (integer)

Offset of the end of the child block within its parent block.

ErrorList -> (list)

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, the ErrorList is empty.

(structure)

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.

Index -> (integer)

The zero-based index of the document in the input list.

ErrorCode -> (string)

The numeric error code of the error.

ErrorMessage -> (string)

A text description of the error.