Uses of Class
com.azure.ai.textanalytics.models.TextSentiment

Packages that use TextSentiment

Package	Description
com.azure.ai.textanalytics.models	Package containing the data models for MicrosoftCognitiveLanguageServiceTextAnalysis.

Uses of TextSentiment in com.azure.ai.textanalytics.models

Fields in com.azure.ai.textanalytics.models declared as TextSentiment

Modifier and Type	Field	Description
static final TextSentiment	TextSentiment.MIXED	Static value Mixed for TextSentiment.
static final TextSentiment	TextSentiment.NEGATIVE	Static value Negative for TextSentiment.
static final TextSentiment	TextSentiment.NEUTRAL	Static value Neutral for TextSentiment.
static final TextSentiment	TextSentiment.POSITIVE	Static value Positive for TextSentiment.

Methods in com.azure.ai.textanalytics.models that return TextSentiment

Modifier and Type	Method	Description
static TextSentiment	TextSentiment.fromString(String name)	Creates or finds a TextSentiment from its string representation.
TextSentiment	AssessmentSentiment.getSentiment()	Gets the opinion text sentiment label: POSITIVE, NEGATIVE, MIXED.
TextSentiment	DocumentSentiment.getSentiment()	Gets the text sentiment label: POSITIVE, NEGATIVE, NEUTRAL, or MIXED.
TextSentiment	SentenceSentiment.getSentiment()	Gets the text sentiment label: POSITIVE, NEGATIVE, or NEUTRAL.
TextSentiment	TargetSentiment.getSentiment()	Gets the target text sentiment label: POSITIVE, NEGATIVE, MIXED.

Methods in com.azure.ai.textanalytics.models that return types with arguments of type TextSentiment

Modifier and Type	Method	Description
static Collection<TextSentiment>	TextSentiment.values()	All known TextSentiment values.

Constructors in com.azure.ai.textanalytics.models with parameters of type TextSentiment

Modifier	Constructor	Description
	DocumentSentiment(TextSentiment sentiment, SentimentConfidenceScores confidenceScores, com.azure.core.util.IterableStream<SentenceSentiment> sentences, com.azure.core.util.IterableStream<TextAnalyticsWarning> warnings)	Creates a DocumentSentiment model that describes the sentiment of the document.
	SentenceSentiment(String text, TextSentiment sentiment, SentimentConfidenceScores confidenceScores)	Creates a SentenceSentiment model that describes the sentiment analysis of sentence.