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

Packages that use DocumentSentiment

Package	Description
com.azure.ai.textanalytics	Azure AI Language Service is a cloud-based natural language processing (NLP) service offered by Microsoft Azure.
com.azure.ai.textanalytics.models	Package containing the data models for MicrosoftCognitiveLanguageServiceTextAnalysis.

Uses of DocumentSentiment in com.azure.ai.textanalytics

Methods in com.azure.ai.textanalytics that return DocumentSentiment

Modifier and Type	Method	Description
DocumentSentiment	TextAnalyticsClient.analyzeSentiment(String document)	Returns a sentiment prediction, as well as confidence scores for each sentiment label (Positive, Negative, and Neutral) for the document and each sentence within it.
DocumentSentiment	TextAnalyticsClient.analyzeSentiment(String document, String language)	Returns a sentiment prediction, as well as confidence scores for each sentiment label (Positive, Negative, and Neutral) for the document and each sentence within it.
DocumentSentiment	TextAnalyticsClient.analyzeSentiment(String document, String language, AnalyzeSentimentOptions options)	Returns a sentiment prediction, as well as confidence scores for each sentiment label (Positive, Negative, and Neutral) for the document and each sentence within it.

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

Modifier and Type	Method	Description
Mono<DocumentSentiment>	TextAnalyticsAsyncClient.analyzeSentiment(String document)	Returns a sentiment prediction, as well as confidence scores for each sentiment label (Positive, Negative, and Neutral) for the document and each sentence within it.
Mono<DocumentSentiment>	TextAnalyticsAsyncClient.analyzeSentiment(String document, String language)	Returns a sentiment prediction, as well as confidence scores for each sentiment label (Positive, Negative, and Neutral) for the document and each sentence within it.
Mono<DocumentSentiment>	TextAnalyticsAsyncClient.analyzeSentiment(String document, String language, AnalyzeSentimentOptions options)	Returns a sentiment prediction, as well as confidence scores for each sentiment label (Positive, Negative, and Neutral) for the document and each sentence within it.

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

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

Modifier and Type	Method	Description
DocumentSentiment	AnalyzeSentimentResult.getDocumentSentiment()	Gets the document sentiment.

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

Modifier	Constructor	Description
	AnalyzeSentimentResult(String id, TextDocumentStatistics textDocumentStatistics, TextAnalyticsError error, DocumentSentiment documentSentiment)	Creates a AnalyzeSentimentResult model that describes analyzed sentiment result.