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Sentiment Analysis (Basic Edition)

  • Example request 
    //You are advised to construct and use the client in a singleton pattern to avoid frequent object creation.
NluClient client = new NluClient (AuthMode.AKSK,authInfo);

GeneralSentimentReq req = new GeneralSentimentReq();
req.setContent("Text for analysis");

try {
    GeneralSentimentResp resp = client.getSentiment(req);
} catch (NlpException e) {
    //A failure is thrown as an exception. For details about exceptions, see section "Exceptions". The client automatically processes exceptions.
}
  • Table 1 describes GeneralSentimentReq parameters.
    Table 1 GeneralSentimentReq parameters

    Parameter

    Mandatory

    Type

    Description

    content

    Yes

    String

    Text to be analyzed. The text must be encoded using UTF-8.

    The value contains a maximum of 400 characters. If the value exceeds 400 characters, only the first 400 characters are detected.
  • Table 2 describes GeneralSentimentResp parameters.
    Table 2 GeneralSentimentResp parameters

    Parameter

    Type

    Description

    result

    Result

    Encapsulated object of the returned result
  • Table 3 describes the data structure description of the Result field.
    Table 3 Data structure description of the Result field

    Parameter

    Type

    Description

    content

    String

    Text to be analyzed.

    label

    Integer

    Positive and negative labels are included.

    • 1: positive
    • 0: negative

    confidence

    Float

    Confidence level of a label
Parent topic: Calling LU APIs