BatchDetectTargetedSentiment - Amazon Comprehend API Reference

BatchDetectTargetedSentiment

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.

Request Syntax

{ "LanguageCode": "string", "TextList": [ "string" ] }

Request Parameters

For information about the parameters that are common to all actions, see Common Parameters.

The request accepts the following data in JSON format.

LanguageCode

The language of the input documents. Currently, English is the only supported language.

Type: String

Valid Values: en

Required: Yes

TextList

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.

Type: Array of strings

Array Members: Minimum number of 1 item.

Length Constraints: Minimum length of 1.

Required: Yes

Response Syntax

{ "ErrorList": [ { "ErrorCode": "string", "ErrorMessage": "string", "Index": number } ], "ResultList": [ { "Entities": [ { "DescriptiveMentionIndex": [ number ], "Mentions": [ { "BeginOffset": number, "EndOffset": number, "GroupScore": number, "MentionSentiment": { "Sentiment": "string", "SentimentScore": { "Mixed": number, "Negative": number, "Neutral": number, "Positive": number } }, "Score": number, "Text": "string", "Type": "string" } ] } ], "Index": number } ] }

Response Elements

If the action is successful, the service sends back an HTTP 200 response.

The following data is returned in JSON format by the service.

ErrorList

List of errors that the operation can return.

Type: Array of BatchItemError objects

ResultList

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.

Type: Array of BatchDetectTargetedSentimentItemResult objects

Errors

For information about the errors that are common to all actions, see Common Errors.

BatchSizeLimitExceededException

The number of documents in the request exceeds the limit of 25. Try your request again with fewer documents.

HTTP Status Code: 400

InternalServerException

An internal server error occurred. Retry your request.

HTTP Status Code: 500

InvalidRequestException

The request is invalid.

HTTP Status Code: 400

TextSizeLimitExceededException

The size of the input text exceeds the limit. Use a smaller document.

HTTP Status Code: 400

UnsupportedLanguageException

Amazon Comprehend can't process the language of the input text. For custom entity recognition APIs, only English, Spanish, French, Italian, German, or Portuguese are accepted. For a list of supported languages, Supported languages in the Comprehend Developer Guide.

HTTP Status Code: 400

See Also

For more information about using this API in one of the language-specific AWS SDKs, see the following: