TextAnalyticsClient Class

  • Reference

Definition

Namespace:
Azure.AI.TextAnalytics
Assembly:
Azure.AI.TextAnalytics.dll
Package:
Azure.AI.TextAnalytics v5.3.0
Source:
TextAnalyticsClient.cs

The client to use for interacting with the Azure Cognitive Service for Language, which includes Text Analytics.

public class TextAnalyticsClient
type TextAnalyticsClient = class
Public Class TextAnalyticsClient
Inheritance
Object
TextAnalyticsClient

Constructors

TextAnalyticsClient()

Protected constructor to allow mocking.
TextAnalyticsClient(Uri, AzureKeyCredential, TextAnalyticsClientOptions)

Initializes a new instance of the AzureKeyCredential class for the specified service instance.
TextAnalyticsClient(Uri, AzureKeyCredential)

Initializes a new instance of the AzureKeyCredential class for the specified service instance.
TextAnalyticsClient(Uri, TokenCredential, TextAnalyticsClientOptions)

Initializes a new instance of the TextAnalyticsClient class for the specified service instance.
TextAnalyticsClient(Uri, TokenCredential)

Initializes a new instance of the TextAnalyticsClient class for the specified service instance.

Methods

AbstractiveSummarize(WaitUntil, IEnumerable<String>, String, AbstractiveSummarizeOptions, CancellationToken)

Performs abstractive summarization on a given set of documents, which consists of generating a summary with concise, coherent sentences or words which are not simply extract sentences from the original document. For a list of languages supported by this operation, see https://video2.skills-academy.com/azure/cognitive-services/language-service/summarization/language-support. For document length limits, maximum batch size, and supported text encoding, see https://aka.ms/azsdk/textanalytics/data-limits.
AbstractiveSummarize(WaitUntil, IEnumerable<TextDocumentInput>, AbstractiveSummarizeOptions, CancellationToken)

Performs abstractive summarization on a given set of documents, which consists of generating a summary with concise, coherent sentences or words which are not simply extract sentences from the original document. For a list of languages supported by this operation, see https://video2.skills-academy.com/azure/cognitive-services/language-service/summarization/language-support. For document length limits, maximum batch size, and supported text encoding, see https://aka.ms/azsdk/textanalytics/data-limits.
AbstractiveSummarizeAsync(WaitUntil, IEnumerable<String>, String, AbstractiveSummarizeOptions, CancellationToken)

Performs abstractive summarization on a given set of documents, which consists of generating a summary with concise, coherent sentences or words which are not simply extract sentences from the original document. For a list of languages supported by this operation, see https://video2.skills-academy.com/azure/cognitive-services/language-service/summarization/language-support. For document length limits, maximum batch size, and supported text encoding, see https://aka.ms/azsdk/textanalytics/data-limits.
AbstractiveSummarizeAsync(WaitUntil, IEnumerable<TextDocumentInput>, AbstractiveSummarizeOptions, CancellationToken)

Performs abstractive summarization on a given set of documents, which consists of generating a summary with concise, coherent sentences or words which are not simply extract sentences from the original document. For a list of languages supported by this operation, see https://video2.skills-academy.com/azure/cognitive-services/language-service/summarization/language-support. For document length limits, maximum batch size, and supported text encoding, see https://aka.ms/azsdk/textanalytics/data-limits.
AnalyzeActions(WaitUntil, IEnumerable<String>, TextAnalyticsActions, String, AnalyzeActionsOptions, CancellationToken)

Performs one or more text analysis actions on a set of documents. The list of supported actions includes:

  • Entity Recognition (Named, Linked, and Personally Identifiable Information (PII) entities)
  • Key Phrases Extraction
  • Sentiment Analysis
  • Custom Entity Recognition
  • Custom Single and Multi Label Classification
  • Extractive Summarization
  • Abstractive Summarization

For document length limits, maximum batch size, and supported text encoding, see here.

AnalyzeActions(WaitUntil, IEnumerable<TextDocumentInput>, TextAnalyticsActions, AnalyzeActionsOptions, CancellationToken)

Performs one or more text analysis actions on a set of documents. The list of supported actions includes:

  • Entity Recognition (Named, Linked, and Personally Identifiable Information (PII) entities)
  • Key Phrases Extraction
  • Sentiment Analysis
  • Custom Entity Recognition
  • Custom Single and Multi Label Classification
  • Extractive Summarization
  • Abstractive Summarization

For document length limits, maximum batch size, and supported text encoding, see here.

AnalyzeActionsAsync(WaitUntil, IEnumerable<String>, TextAnalyticsActions, String, AnalyzeActionsOptions, CancellationToken)

Performs one or more text analysis actions on a set of documents. The list of supported actions includes:

  • Entity Recognition (Named, Linked, and Personally Identifiable Information (PII) entities)
  • Key Phrases Extraction
  • Sentiment Analysis
  • Custom Entity Recognition
  • Custom Single and Multi Label Classification
  • Extractive Summarization
  • Abstractive Summarization

For document length limits, maximum batch size, and supported text encoding, see more information here.

AnalyzeActionsAsync(WaitUntil, IEnumerable<TextDocumentInput>, TextAnalyticsActions, AnalyzeActionsOptions, CancellationToken)

Performs one or more text analysis actions on a set of documents. The list of supported actions includes:

  • Entity Recognition (Named, Linked, and Personally Identifiable Information (PII) entities)
  • Key Phrases Extraction
  • Sentiment Analysis
  • Custom Entity Recognition
  • Custom Single and Multi Label Classification
  • Extractive Summarization
  • Abstractive Summarization

For document length limits, maximum batch size, and supported text encoding, see here.

AnalyzeHealthcareEntities(WaitUntil, IEnumerable<String>, String, AnalyzeHealthcareEntitiesOptions, CancellationToken)

Runs a predictive model to identify a collection of healthcare entities found in the passed-in document, and include information linking the entities to their corresponding entries in a well-known knowledge base. For a list of languages supported by this operation, see https://aka.ms/talangs. For document length limits, maximum batch size, and supported text encoding, see https://aka.ms/azsdk/textanalytics/data-limits.
AnalyzeHealthcareEntities(WaitUntil, IEnumerable<TextDocumentInput>, AnalyzeHealthcareEntitiesOptions, CancellationToken)

Runs a predictive model to identify a collection of healthcare entities found in the passed-in document, and include information linking the entities to their corresponding entries in a well-known knowledge base. For a list of languages supported by this operation, see https://aka.ms/talangs. For document length limits, maximum batch size, and supported text encoding, see https://aka.ms/azsdk/textanalytics/data-limits.
AnalyzeHealthcareEntitiesAsync(WaitUntil, IEnumerable<String>, String, AnalyzeHealthcareEntitiesOptions, CancellationToken)

Runs a predictive model to identify a collection of healthcare entities found in the passed-in document, and include information linking the entities to their corresponding entries in a well-known knowledge base. For a list of languages supported by this operation, see https://aka.ms/talangs. For document length limits, maximum batch size, and supported text encoding, see https://aka.ms/azsdk/textanalytics/data-limits.
AnalyzeHealthcareEntitiesAsync(WaitUntil, IEnumerable<TextDocumentInput>, AnalyzeHealthcareEntitiesOptions, CancellationToken)

Runs a predictive model to identify a collection of healthcare entities found in the passed-in document, and include information linking the entities to their corresponding entries in a well-known knowledge base. For a list of languages supported by this operation, see https://aka.ms/talangs. For document length limits, maximum batch size, and supported text encoding, see https://aka.ms/azsdk/textanalytics/data-limits.
AnalyzeSentiment(String, String, AnalyzeSentimentOptions, CancellationToken)

Runs a predictive model to identify the positive, negative or neutral sentiment contained in the document, as well as a score indicating the model's confidence in the predicted sentiment.

For a list of languages supported by this operation, see https://aka.ms/talangs.

For document length limits, maximum batch size, and supported text encoding, see https://aka.ms/azsdk/textanalytics/data-limits.
AnalyzeSentimentAsync(String, String, AnalyzeSentimentOptions, CancellationToken)

Runs a predictive model to identify the positive, negative, neutral or mixed sentiment contained in the document, as well as a score indicating the model's confidence in the predicted sentiment.

For a list of languages supported by this operation, see https://aka.ms/talangs.

For document length limits, maximum batch size, and supported text encoding, see https://aka.ms/azsdk/textanalytics/data-limits.
AnalyzeSentimentBatch(IEnumerable<String>, String, AnalyzeSentimentOptions, CancellationToken)

Runs a predictive model to identify the positive, negative or neutral sentiment contained in the documents, as well as scores indicating the model's confidence in each of the predicted sentiments.

For a list of languages supported by this operation, see https://aka.ms/talangs.

For document length limits, maximum batch size, and supported text encoding, see https://aka.ms/azsdk/textanalytics/data-limits.
AnalyzeSentimentBatch(IEnumerable<TextDocumentInput>, AnalyzeSentimentOptions, CancellationToken)

Runs a predictive model to identify the positive, negative or neutral sentiment contained in the documents, as well as scores indicating the model's confidence in each of the predicted sentiments.

For a list of languages supported by this operation, see https://aka.ms/talangs.

For document length limits, maximum batch size, and supported text encoding, see https://aka.ms/azsdk/textanalytics/data-limits.
AnalyzeSentimentBatchAsync(IEnumerable<String>, String, AnalyzeSentimentOptions, CancellationToken)

Runs a predictive model to identify the positive, negative or neutral sentiment contained in the documents, as well as scores indicating the model's confidence in each of the predicted sentiments.

For a list of languages supported by this operation, see https://aka.ms/talangs.

For document length limits, maximum batch size, and supported text encoding, see https://aka.ms/azsdk/textanalytics/data-limits.
AnalyzeSentimentBatchAsync(IEnumerable<TextDocumentInput>, AnalyzeSentimentOptions, CancellationToken)

Runs a predictive model to identify the positive, negative or neutral sentiment contained in the documents, as well as scores indicating the model's confidence in each of the predicted sentiments.

For a list of languages supported by this operation, see https://aka.ms/talangs.

For document length limits, maximum batch size, and supported text encoding, see https://aka.ms/azsdk/textanalytics/data-limits.
DetectLanguage(String, String, CancellationToken)

Runs a predictive model to determine the language the passed-in document is written in, and returns the detected language as well as a score indicating the model's confidence that the inferred language is correct. Scores close to 1 indicate high certainty in the result.

For document length limits, maximum batch size, and supported text encoding, see https://aka.ms/azsdk/textanalytics/data-limits.
DetectLanguageAsync(String, String, CancellationToken)

Runs a predictive model to determine the language the passed-in document is written in, and returns the detected language as well as a score indicating the model's confidence that the inferred language is correct. Scores close to 1 indicate high certainty in the result.

For document length limits, maximum batch size, and supported text encoding, see https://aka.ms/azsdk/textanalytics/data-limits.
DetectLanguageBatch(IEnumerable<DetectLanguageInput>, TextAnalyticsRequestOptions, CancellationToken)

Runs a predictive model to determine the language the passed-in documents are written in, and returns, for each one, the detected language as well as a score indicating the model's confidence that the inferred language is correct. Scores close to 1 indicate high certainty in the result.

For document length limits, maximum batch size, and supported text encoding, see https://aka.ms/azsdk/textanalytics/data-limits.
DetectLanguageBatch(IEnumerable<String>, String, TextAnalyticsRequestOptions, CancellationToken)

Runs a predictive model to determine the language the passed-in documents are written in, and returns, for each one, the detected language as well as a score indicating the model's confidence that the inferred language is correct. Scores close to 1 indicate high certainty in the result.

For document length limits, maximum batch size, and supported text encoding, see https://aka.ms/azsdk/textanalytics/data-limits.
DetectLanguageBatchAsync(IEnumerable<DetectLanguageInput>, TextAnalyticsRequestOptions, CancellationToken)

Runs a predictive model to determine the language the passed-in documents are written in, and returns, for each one, the detected language as well as a score indicating the model's confidence that the inferred language is correct. Scores close to 1 indicate high certainty in the result.

For document length limits, maximum batch size, and supported text encoding, see https://aka.ms/azsdk/textanalytics/data-limits.
DetectLanguageBatchAsync(IEnumerable<String>, String, TextAnalyticsRequestOptions, CancellationToken)

Runs a predictive model to determine the language the passed-in documents are written in, and returns, for each one, the detected language as well as a score indicating the model's confidence that the inferred language is correct. Scores close to 1 indicate high certainty in the result.

For document length limits, maximum batch size, and supported text encoding, see https://aka.ms/azsdk/textanalytics/data-limits.
ExtractiveSummarize(WaitUntil, IEnumerable<String>, String, ExtractiveSummarizeOptions, CancellationToken)

Performs extractive summarization on the given documents, which consists of extracting sentences that collectively represent the most important or relevant information within the original content. For a list of languages supported by this operation, see https://video2.skills-academy.com/azure/cognitive-services/language-service/summarization/language-support. For document length limits, maximum batch size, and supported text encoding, see https://aka.ms/azsdk/textanalytics/data-limits.
ExtractiveSummarize(WaitUntil, IEnumerable<TextDocumentInput>, ExtractiveSummarizeOptions, CancellationToken)

Performs extractive summarization on the given documents, which consists of extracting sentences that collectively represent the most important or relevant information within the original content. For a list of languages supported by this operation, see https://video2.skills-academy.com/azure/cognitive-services/language-service/summarization/language-support. For document length limits, maximum batch size, and supported text encoding, see https://aka.ms/azsdk/textanalytics/data-limits.
ExtractiveSummarizeAsync(WaitUntil, IEnumerable<String>, String, ExtractiveSummarizeOptions, CancellationToken)

Performs extractive summarization on the given documents, which consists of extracting sentences that collectively represent the most important or relevant information within the original content. For a list of languages supported by this operation, see https://video2.skills-academy.com/azure/cognitive-services/language-service/summarization/language-support. For document length limits, maximum batch size, and supported text encoding, see https://aka.ms/azsdk/textanalytics/data-limits.
ExtractiveSummarizeAsync(WaitUntil, IEnumerable<TextDocumentInput>, ExtractiveSummarizeOptions, CancellationToken)

Performs extractive summarization on the given documents, which consists of extracting sentences that collectively represent the most important or relevant information within the original content. For a list of languages supported by this operation, see https://video2.skills-academy.com/azure/cognitive-services/language-service/summarization/language-support. For document length limits, maximum batch size, and supported text encoding, see https://aka.ms/azsdk/textanalytics/data-limits.
ExtractKeyPhrases(String, String, CancellationToken)

Runs a model to identify a collection of significant phrases found in the passed-in document.

For example, for the document "The food was delicious and there were wonderful staff", the API returns the main talking points: "food" and "wonderful staff".

For a list of languages supported by this operation, see https://aka.ms/talangs.

For document length limits, maximum batch size, and supported text encoding, see https://aka.ms/azsdk/textanalytics/data-limits.
ExtractKeyPhrasesAsync(String, String, CancellationToken)

Runs a model to identify a collection of significant phrases found in the passed-in document.

For example, for the document "The food was delicious and there were wonderful staff", the API returns the main talking points: "food" and "wonderful staff".

For a list of languages supported by this operation, see https://aka.ms/talangs.

For document length limits, maximum batch size, and supported text encoding, see https://aka.ms/azsdk/textanalytics/data-limits.
ExtractKeyPhrasesBatch(IEnumerable<String>, String, TextAnalyticsRequestOptions, CancellationToken)

Runs a model to identify a collection of significant phrases found in the passed-in documents.

For example, for the document "The food was delicious and there were wonderful staff", the API returns the main talking points: "food" and "wonderful staff".

For a list of languages supported by this operation, see https://aka.ms/talangs.

For document length limits, maximum batch size, and supported text encoding, see https://aka.ms/azsdk/textanalytics/data-limits.
ExtractKeyPhrasesBatch(IEnumerable<TextDocumentInput>, TextAnalyticsRequestOptions, CancellationToken)

Runs a model to identify a collection of significant phrases found in the passed-in documents.

For example, for the document "The food was delicious and there were wonderful staff", the API returns the main talking points: "food" and "wonderful staff".

For a list of languages supported by this operation, see https://aka.ms/talangs.

For document length limits, maximum batch size, and supported text encoding, see https://aka.ms/azsdk/textanalytics/data-limits.
ExtractKeyPhrasesBatchAsync(IEnumerable<String>, String, TextAnalyticsRequestOptions, CancellationToken)

Runs a model to identify a collection of significant phrases found in the passed-in documents.

For example, for the document "The food was delicious and there were wonderful staff", the API returns the main talking points: "food" and "wonderful staff".

For a list of languages supported by this operation, see https://aka.ms/talangs.

For document length limits, maximum batch size, and supported text encoding, see https://aka.ms/azsdk/textanalytics/data-limits.
ExtractKeyPhrasesBatchAsync(IEnumerable<TextDocumentInput>, TextAnalyticsRequestOptions, CancellationToken)

Runs a model to identify a collection of significant phrases found in the passed-in documents.

For example, for the document "The food was delicious and there were wonderful staff", the API returns the main talking points: "food" and "wonderful staff".

For a list of languages supported by this operation, see https://aka.ms/talangs.

For document length limits, maximum batch size, and supported text encoding, see https://aka.ms/azsdk/textanalytics/data-limits.
MultiLabelClassify(WaitUntil, IEnumerable<String>, String, String, String, MultiLabelClassifyOptions, CancellationToken)

Runs a predictive model to identify a classify each document with multiple labels in the passed-in documents.

For more information on available categories, see https://docs.microsoft.com/azure/cognitive-services/language-service/custom-text-classification/overview.

For a list of languages supported by this operation, see https://aka.ms/talangs.

For document length limits, maximum batch size, and supported text encoding, see https://aka.ms/azsdk/textanalytics/data-limits.
MultiLabelClassify(WaitUntil, IEnumerable<TextDocumentInput>, String, String, MultiLabelClassifyOptions, CancellationToken)

Runs a predictive model to identify a classify each document with multiple labels in the passed-in documents.

For more information on available categories, see https://docs.microsoft.com/azure/cognitive-services/language-service/custom-text-classification/overview.

For a list of languages supported by this operation, see https://aka.ms/talangs.

For document length limits, maximum batch size, and supported text encoding, see https://aka.ms/azsdk/textanalytics/data-limits.
MultiLabelClassifyAsync(WaitUntil, IEnumerable<String>, String, String, String, MultiLabelClassifyOptions, CancellationToken)

Runs a predictive model to identify a classify each document with multiple labels in the passed-in documents.

For more information on available categories, see https://docs.microsoft.com/azure/cognitive-services/language-service/custom-text-classification/overview.

For a list of languages supported by this operation, see https://aka.ms/talangs.

For document length limits, maximum batch size, and supported text encoding, see https://aka.ms/azsdk/textanalytics/data-limits.
MultiLabelClassifyAsync(WaitUntil, IEnumerable<TextDocumentInput>, String, String, MultiLabelClassifyOptions, CancellationToken)

Runs a predictive model to identify a classify each document with multiple labels in the passed-in documents.

For more information on available categories, see https://docs.microsoft.com/azure/cognitive-services/language-service/custom-text-classification/overview.

For a list of languages supported by this operation, see https://aka.ms/talangs.

For document length limits, maximum batch size, and supported text encoding, see https://aka.ms/azsdk/textanalytics/data-limits.
RecognizeCustomEntities(WaitUntil, IEnumerable<String>, String, String, String, RecognizeCustomEntitiesOptions, CancellationToken)

Runs a predictive model to identify a collection of custom named entities in the passed-in documents, and categorize those entities into custom types such as contracts or financial documents.

For more information on available categories, see https://docs.microsoft.com/azure/cognitive-services/language-service/custom-named-entity-recognition/overview.

For a list of languages supported by this operation, see https://aka.ms/talangs.

For document length limits, maximum batch size, and supported text encoding, see https://aka.ms/azsdk/textanalytics/data-limits.
RecognizeCustomEntities(WaitUntil, IEnumerable<TextDocumentInput>, String, String, RecognizeCustomEntitiesOptions, CancellationToken)

Runs a predictive model to identify a collection of custom named entities in the passed-in documents, and categorize those entities into custom types such as contracts or financial documents.

For more information on available categories, see https://docs.microsoft.com/azure/cognitive-services/language-service/custom-named-entity-recognition/overview.

For a list of languages supported by this operation, see https://aka.ms/talangs.

For document length limits, maximum batch size, and supported text encoding, see https://aka.ms/azsdk/textanalytics/data-limits.
RecognizeCustomEntitiesAsync(WaitUntil, IEnumerable<String>, String, String, String, RecognizeCustomEntitiesOptions, CancellationToken)

Runs a predictive model to identify a collection of custom named entities in the passed-in documents, and categorize those entities into custom types such as contracts or financial documents.

For more information on available categories, see https://docs.microsoft.com/azure/cognitive-services/language-service/custom-named-entity-recognition/overview.

For a list of languages supported by this operation, see https://aka.ms/talangs.

For document length limits, maximum batch size, and supported text encoding, see https://aka.ms/azsdk/textanalytics/data-limits.
RecognizeCustomEntitiesAsync(WaitUntil, IEnumerable<TextDocumentInput>, String, String, RecognizeCustomEntitiesOptions, CancellationToken)

Runs a predictive model to identify a collection of custom named entities in the passed-in documents, and categorize those entities into custom types such as contracts or financial documents.

For more information on available categories, see https://docs.microsoft.com/azure/cognitive-services/language-service/custom-named-entity-recognition/overview.

For a list of languages supported by this operation, see https://aka.ms/talangs.

For document length limits, maximum batch size, and supported text encoding, see https://aka.ms/azsdk/textanalytics/data-limits.
RecognizeEntities(String, String, CancellationToken)

Runs a predictive model to identify a collection of named entities in the passed-in document, and categorize those entities into types such as person, location, or organization.

For more information on available categories, see https://docs.microsoft.com/azure/cognitive-services/language-service/named-entity-recognition/concepts/named-entity-categories.

For a list of languages supported by this operation, see https://aka.ms/talangs.

For document length limits, maximum batch size, and supported text encoding, see https://aka.ms/azsdk/textanalytics/data-limits.
RecognizeEntitiesAsync(String, String, CancellationToken)

Runs a predictive model to identify a collection of named entities in the passed-in document, and categorize those entities into types such as person, location, or organization.

For more information on available categories, see https://docs.microsoft.com/azure/cognitive-services/language-service/named-entity-recognition/concepts/named-entity-categories.

For a list of languages supported by this operation, see https://aka.ms/talangs.

For document length limits, maximum batch size, and supported text encoding, see https://aka.ms/azsdk/textanalytics/data-limits.
RecognizeEntitiesBatch(IEnumerable<String>, String, TextAnalyticsRequestOptions, CancellationToken)

Runs a predictive model to identify a collection of named entities in the passed-in documents, and categorize those entities into types such as person, location, or organization.

For more information on available categories, see https://docs.microsoft.com/azure/cognitive-services/language-service/named-entity-recognition/concepts/named-entity-categories.

For a list of languages supported by this operation, see https://aka.ms/talangs.

For document length limits, maximum batch size, and supported text encoding, see https://aka.ms/azsdk/textanalytics/data-limits.
RecognizeEntitiesBatch(IEnumerable<TextDocumentInput>, TextAnalyticsRequestOptions, CancellationToken)

Runs a predictive model to identify a collection of named entities in the passed-in documents, and categorize those entities into types such as person, location, or organization.

For more information on available categories, see https://docs.microsoft.com/azure/cognitive-services/language-service/named-entity-recognition/concepts/named-entity-categories.

For a list of languages supported by this operation, see https://aka.ms/talangs.

For document length limits, maximum batch size, and supported text encoding, see https://aka.ms/azsdk/textanalytics/data-limits.
RecognizeEntitiesBatchAsync(IEnumerable<String>, String, TextAnalyticsRequestOptions, CancellationToken)

Runs a predictive model to identify a collection of named entities in the passed-in documents, and categorize those entities into types such as person, location, or organization.

For more information on available categories, see https://docs.microsoft.com/azure/cognitive-services/language-service/named-entity-recognition/concepts/named-entity-categories.

For a list of languages supported by this operation, see https://aka.ms/talangs.

For document length limits, maximum batch size, and supported text encoding, see https://aka.ms/azsdk/textanalytics/data-limits.
RecognizeEntitiesBatchAsync(IEnumerable<TextDocumentInput>, TextAnalyticsRequestOptions, CancellationToken)

Runs a predictive model to identify a collection of named entities in the passed-in documents, and categorize those entities into types such as person, location, or organization.

For more information on available categories, see https://docs.microsoft.com/azure/cognitive-services/language-service/named-entity-recognition/concepts/named-entity-categories.

For a list of languages supported by this operation, see https://aka.ms/talangs.

For document length limits, maximum batch size, and supported text encoding, see https://aka.ms/azsdk/textanalytics/data-limits.
RecognizeLinkedEntities(String, String, CancellationToken)

Runs a predictive model to identify a collection of entities found in the passed-in document, and include information linking the entities to their corresponding entries in a well-known knowledge base.

For a list of languages supported by this operation, see https://aka.ms/talangs.

For document length limits, maximum batch size, and supported text encoding, see https://aka.ms/azsdk/textanalytics/data-limits.
RecognizeLinkedEntitiesAsync(String, String, CancellationToken)

Runs a predictive model to identify a collection of entities found in the passed-in document, and include information linking the entities to their corresponding entries in a well-known knowledge base.

For a list of languages supported by this operation, see https://aka.ms/talangs.

For document length limits, maximum batch size, and supported text encoding, see https://aka.ms/azsdk/textanalytics/data-limits.
RecognizeLinkedEntitiesBatch(IEnumerable<String>, String, TextAnalyticsRequestOptions, CancellationToken)

Runs a predictive model to identify a collection of entities found in the passed-in documents, and include information linking the entities to their corresponding entries in a well-known knowledge base.

For a list of languages supported by this operation, see https://aka.ms/talangs.

For document length limits, maximum batch size, and supported text encoding, see https://aka.ms/azsdk/textanalytics/data-limits.
RecognizeLinkedEntitiesBatch(IEnumerable<TextDocumentInput>, TextAnalyticsRequestOptions, CancellationToken)

Runs a predictive model to identify a collection of entities found in the passed-in documents, and include information linking the entities to their corresponding entries in a well-known knowledge base.

For a list of languages supported by this operation, see https://aka.ms/talangs.

For document length limits, maximum batch size, and supported text encoding, see https://aka.ms/azsdk/textanalytics/data-limits.
RecognizeLinkedEntitiesBatchAsync(IEnumerable<String>, String, TextAnalyticsRequestOptions, CancellationToken)

Runs a predictive model to identify a collection of entities found in the passed-in documents, and include information linking the entities to their corresponding entries in a well-known knowledge base.

For a list of languages supported by this operation, see https://aka.ms/talangs.

For document length limits, maximum batch size, and supported text encoding, see https://aka.ms/azsdk/textanalytics/data-limits.
RecognizeLinkedEntitiesBatchAsync(IEnumerable<TextDocumentInput>, TextAnalyticsRequestOptions, CancellationToken)

Runs a predictive model to identify a collection of entities found in the passed-in documents, and include information linking the entities to their corresponding entries in a well-known knowledge base.

For a list of languages supported by this operation, see https://aka.ms/talangs.

For document length limits, maximum batch size, and supported text encoding, see https://aka.ms/azsdk/textanalytics/data-limits.
RecognizePiiEntities(String, String, RecognizePiiEntitiesOptions, CancellationToken)

Runs a predictive model to identify a collection of entities containing Personally Identifiable Information found in the passed-in document, and categorize those entities into types such as US social security number, drivers license number, or credit card number.

For more information on available categories, see https://aka.ms/azsdk/language/pii.

For a list of languages supported by this operation, see https://aka.ms/talangs.

For document length limits, maximum batch size, and supported text encoding, see https://aka.ms/azsdk/textanalytics/data-limits.
RecognizePiiEntitiesAsync(String, String, RecognizePiiEntitiesOptions, CancellationToken)

Runs a predictive model to identify a collection of entities containing Personally Identifiable Information found in the passed-in document, and categorize those entities into types such as US social security number, drivers license number, or credit card number.

For more information on available categories, see https://aka.ms/azsdk/language/pii.

For a list of languages supported by this operation, see https://aka.ms/talangs.

For document length limits, maximum batch size, and supported text encoding, see https://aka.ms/azsdk/textanalytics/data-limits.
RecognizePiiEntitiesBatch(IEnumerable<String>, String, RecognizePiiEntitiesOptions, CancellationToken)

Runs a predictive model to identify a collection of entities containing Personally Identifiable Information found in the passed-in document, and categorize those entities into types such as US social security number, drivers license number, or credit card number.

For more information on available categories, see https://aka.ms/azsdk/language/pii.

For a list of languages supported by this operation, see https://aka.ms/talangs.

For document length limits, maximum batch size, and supported text encoding, see https://aka.ms/azsdk/textanalytics/data-limits.
RecognizePiiEntitiesBatch(IEnumerable<TextDocumentInput>, RecognizePiiEntitiesOptions, CancellationToken)

Runs a predictive model to identify a collection of entities containing Personally Identifiable Information found in the passed-in document, and categorize those entities into types such as US social security number, drivers license number, or credit card number.

For more information on available categories, see https://aka.ms/azsdk/language/pii.

For a list of languages supported by this operation, see https://aka.ms/talangs.

For document length limits, maximum batch size, and supported text encoding, see https://aka.ms/azsdk/textanalytics/data-limits.
RecognizePiiEntitiesBatchAsync(IEnumerable<String>, String, RecognizePiiEntitiesOptions, CancellationToken)

Runs a predictive model to identify a collection of entities containing Personally Identifiable Information found in the passed-in document, and categorize those entities into types such as US social security number, drivers license number, or credit card number.

For more information on available categories, see https://aka.ms/azsdk/language/pii.

For a list of languages supported by this operation, see https://aka.ms/talangs.

For document length limits, maximum batch size, and supported text encoding, see https://aka.ms/azsdk/textanalytics/data-limits.
RecognizePiiEntitiesBatchAsync(IEnumerable<TextDocumentInput>, RecognizePiiEntitiesOptions, CancellationToken)

Runs a predictive model to identify a collection of entities containing Personally Identifiable Information found in the passed-in document, and categorize those entities into types such as US social security number, drivers license number, or credit card number.

For more information on available categories, see https://aka.ms/azsdk/language/pii.

For a list of languages supported by this operation, see https://aka.ms/talangs.

For document length limits, maximum batch size, and supported text encoding, see https://aka.ms/azsdk/textanalytics/data-limits.
SingleLabelClassify(WaitUntil, IEnumerable<String>, String, String, String, SingleLabelClassifyOptions, CancellationToken)

Runs a predictive model to identify a classify each document with a single label in the passed-in documents.

For more information on available categories, see https://docs.microsoft.com/azure/cognitive-services/language-service/custom-text-classification/overview.

For a list of languages supported by this operation, see https://aka.ms/talangs.

For document length limits, maximum batch size, and supported text encoding, see https://aka.ms/azsdk/textanalytics/data-limits.
SingleLabelClassify(WaitUntil, IEnumerable<TextDocumentInput>, String, String, SingleLabelClassifyOptions, CancellationToken)

Runs a predictive model to identify a classify each document with a single label in the passed-in documents.

For more information on available categories, see https://docs.microsoft.com/azure/cognitive-services/language-service/custom-text-classification/overview.

For a list of languages supported by this operation, see https://aka.ms/talangs.

For document length limits, maximum batch size, and supported text encoding, see https://aka.ms/azsdk/textanalytics/data-limits.
SingleLabelClassifyAsync(WaitUntil, IEnumerable<String>, String, String, String, SingleLabelClassifyOptions, CancellationToken)

Runs a predictive model to identify a classify each document with a single label in the passed-in documents.

For more information on available categories, see https://docs.microsoft.com/azure/cognitive-services/language-service/custom-text-classification/overview.

For a list of languages supported by this operation, see https://aka.ms/talangs.

For document length limits, maximum batch size, and supported text encoding, see https://aka.ms/azsdk/textanalytics/data-limits.
SingleLabelClassifyAsync(WaitUntil, IEnumerable<TextDocumentInput>, String, String, SingleLabelClassifyOptions, CancellationToken)

Runs a predictive model to identify a classify each document with a single label in the passed-in documents.

For more information on available categories, see https://docs.microsoft.com/azure/cognitive-services/language-service/custom-text-classification/overview.

For a list of languages supported by this operation, see https://aka.ms/talangs.

For document length limits, maximum batch size, and supported text encoding, see https://aka.ms/azsdk/textanalytics/data-limits.

Applies to