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

Packages that use TextDocumentInput

Package	Description
com.azure.ai.textanalytics	Package containing the classes for TextAnalyticsClient.
com.azure.ai.textanalytics.models	Package containing classes for TextAnalyticsClient.

Uses of TextDocumentInput in com.azure.ai.textanalytics

Method parameters in com.azure.ai.textanalytics with type arguments of type TextDocumentInput

Modifier and Type	Method	Description
Mono<Response<AnalyzeSentimentResultCollection>>	TextAnalyticsAsyncClient.analyzeSentimentBatchWithResponse(Iterable<TextDocumentInput> documents, 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.
Mono<Response<AnalyzeSentimentResultCollection>>	TextAnalyticsAsyncClient.analyzeSentimentBatchWithResponse(Iterable<TextDocumentInput> documents, TextAnalyticsRequestOptions options)	Deprecated. Please use the TextAnalyticsAsyncClient.analyzeSentimentBatchWithResponse(Iterable, AnalyzeSentimentOptions).
Response<AnalyzeSentimentResultCollection>	TextAnalyticsClient.analyzeSentimentBatchWithResponse(Iterable<TextDocumentInput> documents, AnalyzeSentimentOptions options, Context context)	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.
Response<AnalyzeSentimentResultCollection>	TextAnalyticsClient.analyzeSentimentBatchWithResponse(Iterable<TextDocumentInput> documents, TextAnalyticsRequestOptions options, Context context)	Deprecated. Please use the TextAnalyticsClient.analyzeSentimentBatchWithResponse(Iterable, AnalyzeSentimentOptions, Context).
PollerFlux<AnalyzeActionsOperationDetail,AnalyzeActionsResultPagedFlux>	TextAnalyticsAsyncClient.beginAnalyzeActions(Iterable<TextDocumentInput> documents, TextAnalyticsActions actions, AnalyzeActionsOptions options)	Execute actions, such as, entities recognition, PII entities recognition and key phrases extraction for a list of documents with provided request options.
SyncPoller<AnalyzeActionsOperationDetail,AnalyzeActionsResultPagedIterable>	TextAnalyticsClient.beginAnalyzeActions(Iterable<TextDocumentInput> documents, TextAnalyticsActions actions, AnalyzeActionsOptions options, Context context)	Execute actions, such as, entities recognition, PII entities recognition and key phrases extraction for a list of documents with provided request options.
PollerFlux<AnalyzeHealthcareEntitiesOperationDetail,AnalyzeHealthcareEntitiesPagedFlux>	TextAnalyticsAsyncClient.beginAnalyzeHealthcareEntities(Iterable<TextDocumentInput> documents, AnalyzeHealthcareEntitiesOptions options)	Analyze healthcare entities, entity data sources, and entity relations in a list of documents with provided request options.
SyncPoller<AnalyzeHealthcareEntitiesOperationDetail,AnalyzeHealthcareEntitiesPagedIterable>	TextAnalyticsClient.beginAnalyzeHealthcareEntities(Iterable<TextDocumentInput> documents, AnalyzeHealthcareEntitiesOptions options, Context context)	Analyze healthcare entities, entity data sources, and entity relations in a list of documents with provided request options.
Mono<Response<ExtractKeyPhrasesResultCollection>>	TextAnalyticsAsyncClient.extractKeyPhrasesBatchWithResponse(Iterable<TextDocumentInput> documents, TextAnalyticsRequestOptions options)	Returns a list of strings denoting the key phrases in the document with provided request options.
Response<ExtractKeyPhrasesResultCollection>	TextAnalyticsClient.extractKeyPhrasesBatchWithResponse(Iterable<TextDocumentInput> documents, TextAnalyticsRequestOptions options, Context context)	Returns a list of strings denoting the key phrases in the a batch of document with request options.
Mono<Response<RecognizeEntitiesResultCollection>>	TextAnalyticsAsyncClient.recognizeEntitiesBatchWithResponse(Iterable<TextDocumentInput> documents, TextAnalyticsRequestOptions options)	Returns a list of general categorized entities for the provided list of document with provided request options.
Response<RecognizeEntitiesResultCollection>	TextAnalyticsClient.recognizeEntitiesBatchWithResponse(Iterable<TextDocumentInput> documents, TextAnalyticsRequestOptions options, Context context)	Returns a list of general categorized entities for the provided list of document with provided request options.
Mono<Response<RecognizeLinkedEntitiesResultCollection>>	TextAnalyticsAsyncClient.recognizeLinkedEntitiesBatchWithResponse(Iterable<TextDocumentInput> documents, TextAnalyticsRequestOptions options)	Returns a list of recognized entities with links to a well-known knowledge base for the list of document with provided request options.
Response<RecognizeLinkedEntitiesResultCollection>	TextAnalyticsClient.recognizeLinkedEntitiesBatchWithResponse(Iterable<TextDocumentInput> documents, TextAnalyticsRequestOptions options, Context context)	Returns a list of recognized entities with links to a well-known knowledge base for the list of document and request options.
Mono<Response<RecognizePiiEntitiesResultCollection>>	TextAnalyticsAsyncClient.recognizePiiEntitiesBatchWithResponse(Iterable<TextDocumentInput> documents, RecognizePiiEntitiesOptions options)	Returns a list of Personally Identifiable Information entities for the provided list of document with provided request options.
Response<RecognizePiiEntitiesResultCollection>	TextAnalyticsClient.recognizePiiEntitiesBatchWithResponse(Iterable<TextDocumentInput> documents, RecognizePiiEntitiesOptions options, Context context)	Returns a list of Personally Identifiable Information(PII) entities for the provided list of document with provided request options.

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

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

Modifier and Type	Method	Description
TextDocumentInput	TextDocumentInput.setLanguage(String language)	Set the language property: (Optional) This is the 2 letter ISO 639-1 representation of a language.