DetectTargetedSentiment
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.
Request Syntax
{
"LanguageCode": "string
",
"Text": "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
- Text
-
A UTF-8 text string. The maximum string length is 5 KB.
Type: String
Length Constraints: Minimum length of 1.
Required: Yes
Response Syntax
{
"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"
}
]
}
]
}
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.
- Entities
-
Targeted sentiment analysis for each of the entities identified in the input text.
Type: Array of TargetedSentimentEntity objects
Errors
For information about the errors that are common to all actions, see Common Errors.
- 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 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: