Package com.azure.ai.textanalytics.models
package com.azure.ai.textanalytics.models
Package containing the data models for MicrosoftCognitiveLanguageServiceTextAnalysis.
The language service API is a suite of natural language processing (NLP) skills built with best-in-class Microsoft
machine learning algorithms. The API can be used to analyze unstructured text for tasks such as sentiment analysis,
key phrase extraction, language detection and question answering. Further documentation can be found in <a
href="https://docs.microsoft.com/azure/cognitive-services/language-service/overview">https://docs.microsoft.com/azure/cognitive-services/language-service/overview</a>.
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ClassDescriptionAn object representing a single summary with context for given document.Configurations that allow callers to specify details about how to execute an abstractive summarization action in a set of documents.The
AbstractiveSummaryActionResultmodel.TheAbstractiveSummaryContextmodel.TheAbstractiveSummaryOperationDetailmodel.Configurations that allow callers to specify details about how to execute an abstractive summarization in a set of documents.TheAbstractiveSummaryResultmodel.TheAnalyzeActionsOperationDetailmodel.TheAnalyzeActionsOptionsmodel.TheAnalyzeActionsResultmodel.Configurations that allow callers to specify details about how to execute an healthcare analysis action in a set of documents.TheAnalyzeHealthcareEntitiesActionResultmodel.TheAnalyzeHealthcareEntitiesOperationDetailmodel.TheAnalyzeHealthcareEntitiesOptionsmodel.TheAnalyzeHealthcareEntitiesResultmodel.Configurations that allow callers to specify details about how to execute an sentiment analysis action in a set of documents.TheAnalyzeSentimentActionResultmodel.TheAnalyzeSentimentOptionsmodel.TheAnalyzeSentimentResultmodel.TheAssessmentSentimentmodel.TheCategorizedEntitymodel.TheCategorizedEntityCollectionmodel.The document classification result which contains the classified category and the confidence score on it.TheClassifyDocumentOperationDetailmodel.TheClassifyDocumentResultmodel.TheDetectedLanguagemodel.TheDetectLanguageInputmodel.TheDetectLanguageResultmodel.TheDocumentSentimentmodel that contains sentiment label of a document, confidence score of the sentiment label, and a list ofSentenceSentiment.TheEntityAssociationmodel.Gets the entity category inferred by the text analytics service's named entity recognition model.TheEntityCertaintymodel.TheEntityConditionalitymodel.TheEntityDataSourcemodel.Configurations that allow callers to specify details about how to execute an extractive summarization action in a set of documents.TheExtractiveSummaryActionResultmodel.TheExtractiveSummaryOperationDetailmodel.Configurations that allow callers to specify details about how to execute an extractive summarization in a set of documents.TheExtractiveSummaryResultmodel.TheExtractiveSummarySentencemodel.The sorting criteria to use for the results of Extractive Summarization.TheExtractKeyPhraseResultmodel.Configurations that allow callers to specify details about how to execute a key phrases extraction action in a set of documents.TheExtractKeyPhrasesActionResultmodel.TheHealthcareEntitymodel.TheHealthcareEntityAssertionmodel.Healthcare Entity Category.TheHealthcareEntityRelationEvery relation is an entity graph of a certain relationType, where all entities are connected and have specific roles within the relation context.TheHealthcareEntityRelationRolemodel.Type of relation.TheKeyPhrasesCollectionmodel.TheLinkedEntitymodel.TheLinkedEntityCollectionmodel.TheLinkedEntityMatchmodel.Configurations that allow callers to specify details about how to execute a multi-label classification action in a set of documents.TheMultiLabelClassifyActionResultis the result for multi-label classification action analysis.TheMultiLabelClassifyOptionsmodel.ThePiiEntitymodel.Gets the PII entity category inferred by the text analytics service's PII entity recognition model.ThePiiEntityCollectionmodel.Defines values forPiiEntityDomain.Configurations that allow callers to specify details about how to execute a custom entities recognition action in a set of documents.TheRecognizeCustomEntitiesActionResultmodel.TheRecognizeCustomEntitiesOperationDetailmodel.TheRecognizeCustomEntitiesOptionsmodel.Configurations that allow callers to specify details about how to execute an entities recognition action in a set of documents.TheRecognizeEntitiesActionResultmodel.TheRecognizeEntitiesResultmodel.Configurations that allow callers to specify details about how to execute a linked entities recognition action in a set of documents.TheRecognizeLinkedEntitiesActionResultmodel.TheRecognizeLinkedEntitiesResultmodel.Configurations that allow callers to specify details about how to execute a Personally Identifiable Information(PII) entities recognition action in a set of documents.TheRecognizePiiEntitiesActionResultmodel.TheRecognizePiiEntitiesOptionsmodel.TheRecognizePiiEntitiesResultmodel.TheSentenceOpinionmodel.TheSentenceSentimentmodel that contains a sentiment label of a sentence, confidence scores of the sentiment label, sentence opinions, and offset of sentence within a document.TheSentimentConfidenceScoresmodelConfigurations that allow callers to specify details about how to execute a single-label classification action in a set of documents.TheSingleLabelClassifyActionResultmodel.TheSingleLabelClassifyOptionsmodel.TheTargetSentimentmodel.TheTextAnalyticsActionResultmodel.TheTextAnalyticsActionsmodel.TheTextAnalyticsErrormodel.Defines values for TextAnalyticsErrorCode.General exception for Text Analytics related failures.TheTextAnalyticsRequestOptionsmodel.TheTextAnalyticsResultmodel.TheTextAnalyticsWarningmodel.IfTextAnalyticsRequestOptions.isIncludeStatistics()is set totruethis class will will contain information about the request payload.Contains an input document to be analyzed by the service.IfTextAnalyticsRequestOptions.isIncludeStatistics()is set totruethis class will will contain information about the document payload.Defines values forTextSentiment.Defines values forWarningCode.