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AssessmentSentiment Class

  • java.lang.Object
    • com.azure.ai.textanalytics.models.AssessmentSentiment

public final class AssessmentSentiment

The AssessmentSentiment model.

Constructor Summary

Constructor Description
AssessmentSentiment()

Constructs a AssessmentSentiment model.

Method Summary

Modifier and Type Method and Description
SentimentConfidenceScores getConfidenceScores()

Gets the confidence score of the sentiment label.

int getLength()

Gets the length of opinion text.

int getOffset()

Gets the offset of opinion text.

TextSentiment getSentiment()

Gets the opinion text sentiment label: POSITIVE, NEGATIVE, MIXED.

String getText()

Gets the opinion text property.

boolean isNegated()

Gets the boolean indicator to show if the text is negative.

Methods inherited from java.lang.Object

Constructor Details

AssessmentSentiment

public AssessmentSentiment()

Constructs a AssessmentSentiment model.

Method Details

getConfidenceScores

public SentimentConfidenceScores getConfidenceScores()

Gets the confidence score of the sentiment label. All score values sum up to 1, the higher the score, the higher the confidence in the sentiment. AssessmentSentiment only has positive or negative confidence score value because there is no neutral sentiment label in the AssessmentSentiment.

Returns:

getLength

public int getLength()

Gets the length of opinion text.

Returns:

The length of opinion text.

getOffset

public int getOffset()

Gets the offset of opinion text.

Returns:

The offset of opinion text.

getSentiment

public TextSentiment getSentiment()

Gets the opinion text sentiment label: POSITIVE, NEGATIVE, MIXED. TextSentiment has neutral sentiment type additionally, but target sentiment can only be positive, negative, or mixed.

Returns:

The sentiment value.

getText

public String getText()

Gets the opinion text property.

Returns:

The text value.

isNegated

public boolean isNegated()

Gets the boolean indicator to show if the text is negative.

Returns:

The boolean indicator to show if the text is negative.

Applies to