APIs

  1. Form Recognizer API (v1.0-preview)

    Form Recognizer extracts key value pairs and tables from documents and includes the following options:

    • Custom - Extracts information from forms (PDFs and images) into structured data based on a model created by a set of representative training forms. Form Recognizer learns the structure of your forms to intelligently extract text and data. It ingests text from forms, applies machine learning technology to identify keys and tables, and then outputs structured data that includes the relationships within the original file.
    • Prebuilt Receipt - Detects and extracts data from receipts using optical character recognition (OCR) and our receipt model, enabling you to easily extract structured data from receipts such as merchant name, merchant phone number, transaction date, transaction total, and more.


    This API is currently available in:

    • Australia East - australiaeast.api.cognitive.microsoft.com
    • Canada Central - canadacentral.api.cognitive.microsoft.com
    • Central US - centralus.api.cognitive.microsoft.com
    • East Asia - eastasia.api.cognitive.microsoft.com
    • East US - eastus.api.cognitive.microsoft.com
    • East US 2 - eastus2.api.cognitive.microsoft.com
    • North Europe - northeurope.api.cognitive.microsoft.com
    • South Central US - southcentralus.api.cognitive.microsoft.com
    • Southeast Asia - southeastasia.api.cognitive.microsoft.com
    • UK South - uksouth.api.cognitive.microsoft.com
    • West Europe - westeurope.api.cognitive.microsoft.com
    • West US 2 - westus2.api.cognitive.microsoft.com
  2. Form Recognizer API (v2.0)

    Form Recognizer extracts information from forms and images into structured data. It includes the following options:

    • Form - Extracts information from forms (PDFs and images) into structured data based on a model created from a set of representative training forms. Form Recognizer learns the structure of your forms to intelligently extract text and data. It ingests text from forms, applies machine learning technology to identify keys, tables, and fields, and then outputs structured data that includes the relationships within the original file.
    • Receipt - Detects and extracts data from receipts using optical character recognition (OCR) and our receipt model, enabling you to easily extract structured data from receipts such as merchant name, merchant phone number, transaction date, transaction total, and more.
    • Layout - Extracts text and table structure from documents using optical character recognition (OCR).
  3. Form Recognizer API (v2.0-preview)

    Form Recognizer extracts information from forms and images into structured data. It includes the following options:

    • Form - Extracts information from forms (PDFs and images) into structured data based on a model created from a set of representative training forms. Form Recognizer learns the structure of your forms to intelligently extract text and data. It ingests text from forms, applies machine learning technology to identify keys, tables, and fields, and then outputs structured data that includes the relationships within the original file.
    • Receipt - Detects and extracts data from receipts using optical character recognition (OCR) and our receipt model, enabling you to easily extract structured data from receipts such as merchant name, merchant phone number, transaction date, transaction total, and more.
    • Layout - Extracts text and table structure from documents using optical character recognition (OCR).
  4. Form Recognizer API (v2.1)

    Form Recognizer extracts information from forms and images into structured data. It includes the following options:

    • Form - Extracts information from forms (PDFs and images) into structured data based on a model created from a set of representative training forms. Form Recognizer learns the structure of your forms to intelligently extract text and data. It ingests text from forms, applies machine learning technology to identify keys, tables, and fields, and then outputs structured data that includes the relationships within the original file.
    • Receipt - Detects and extracts data from receipts using optical character recognition (OCR) and our receipt model, enabling you to easily extract structured data from receipts such as merchant name, merchant phone number, transaction date, transaction total, and more.
    • Business Card - Detects and extracts data from business cards using optical character recognition (OCR) and our business card model, enabling you to easily extract structured data from business cards such as contact names, company names, phone numbers, emails, and more.
    • Layout - Extracts text and table structure from documents using optical character recognition (OCR).
    • Invoices - Detects and extracts data from invoices using optical character recognition (OCR) and our invoice understanding deep learning models, enabling you to easily extract structured data from invoices such as customer, vendor, invoice ID, invoice due date, total, invoice amount due, tax amount, ship to, bill to, line items and more.
    • ID Documents - Detects and extracts data from identification documents using optical character recognition (OCR) and our ID document model, enabling you to easily extract structured data from ID documents such as first name, last name, date of birth, document number, and more.
  5. Form Recognizer API (v2.1-preview.1)

    Form Recognizer extracts information from forms and images into structured data. It includes the following options:

    • Form - Extracts information from forms (PDFs and images) into structured data based on a model created from a set of representative training forms. Form Recognizer learns the structure of your forms to intelligently extract text and data. It ingests text from forms, applies machine learning technology to identify keys, tables, and fields, and then outputs structured data that includes the relationships within the original file.
    • Receipt - Detects and extracts data from receipts using optical character recognition (OCR) and our receipt model, enabling you to easily extract structured data from receipts such as merchant name, merchant phone number, transaction date, transaction total, and more.
    • Business Card - Detects and extracts data from business cards using optical character recognition (OCR) and our business card model, enabling you to easily extract structured data from business cards such as contact names, company names, phone numbers, emails, and more.
    • Layout - Extracts text and table structure from documents using optical character recognition (OCR).
  6. Form Recognizer API (v2.1-preview.2)

    Form Recognizer extracts information from forms and images into structured data. It includes the following options:

    • Form - Extracts information from forms (PDFs and images) into structured data based on a model created from a set of representative training forms. Form Recognizer learns the structure of your forms to intelligently extract text and data. It ingests text from forms, applies machine learning technology to identify keys, tables, and fields, and then outputs structured data that includes the relationships within the original file.
    • Receipt - Detects and extracts data from receipts using optical character recognition (OCR) and our receipt model, enabling you to easily extract structured data from receipts such as merchant name, merchant phone number, transaction date, transaction total, and more.
    • Business Card - Detects and extracts data from business cards using optical character recognition (OCR) and our business card model, enabling you to easily extract structured data from business cards such as contact names, company names, phone numbers, emails, and more.
    • Layout - Extracts text and table structure from documents using optical character recognition (OCR).
    • Invoices - Detects and extracts data from invoices using optical character recognition (OCR) and our invoice understanding deep learning models, enabling you to easily extract structured data from invoices such as customer, vendor, invoice ID, invoice due date, total, invoice amount due, tax amount, ship to, bill to, line items and more.
  7. Form Recognizer API (v2.1-preview.3)

    Form Recognizer extracts information from forms and images into structured data. It includes the following options:

    • Form - Extracts information from forms (PDFs and images) into structured data based on a model created from a set of representative training forms. Form Recognizer learns the structure of your forms to intelligently extract text and data. It ingests text from forms, applies machine learning technology to identify keys, tables, and fields, and then outputs structured data that includes the relationships within the original file.
    • Receipt - Detects and extracts data from receipts using optical character recognition (OCR) and our receipt model, enabling you to easily extract structured data from receipts such as merchant name, merchant phone number, transaction date, transaction total, and more.
    • Business Card - Detects and extracts data from business cards using optical character recognition (OCR) and our business card model, enabling you to easily extract structured data from business cards such as contact names, company names, phone numbers, emails, and more.
    • Layout - Extracts text and table structure from documents using optical character recognition (OCR).
    • Invoices - Detects and extracts data from invoices using optical character recognition (OCR) and our invoice understanding deep learning models, enabling you to easily extract structured data from invoices such as customer, vendor, invoice ID, invoice due date, total, invoice amount due, tax amount, ship to, bill to, line items and more.
    • ID Documents - Detects and extracts data from identification documents using optical character recognition (OCR) and our ID document model, enabling you to easily extract structured data from ID documents such as first name, last name, date of birth, document number, and more.
  8. Image Search API - v7

    The Image Search API lets partners send a search query to Bing and get back a list of relevant images. Note you should call the Image API if you need image content only. If you need other content such as news and webpages in addition to images, you must call the Search API which includes images in the response. You must display the images in the order provided in the response.

  9. Language - Conversational Language Understanding Authoring APIs (2022-03-01-preview)

  10. Language - Custom Text Authoring APIs (2022-03-01-preview)

  11. LUIS API

  12. LUIS Endpoint API v2.0

    This API is currently available in:

    • Australia East - australiaeast.api.cognitive.microsoft.com
    • Brazil South - brazilsouth.api.cognitive.microsoft.com
    • Canada Central - canadacentral.api.cognitive.microsoft.com
    • Central India - centralindia.api.cognitive.microsoft.com
    • Central US - centralus.api.cognitive.microsoft.com
    • East Asia - eastasia.api.cognitive.microsoft.com
    • East US - eastus.api.cognitive.microsoft.com
    • East US 2 - eastus2.api.cognitive.microsoft.com
    • France Central - francecentral.api.cognitive.microsoft.com
    • Japan East - japaneast.api.cognitive.microsoft.com
    • Japan West - japanwest.api.cognitive.microsoft.com
    • Korea Central - koreacentral.api.cognitive.microsoft.com
    • North Central US - northcentralus.api.cognitive.microsoft.com
    • North Europe - northeurope.api.cognitive.microsoft.com
    • South Africa North - southafricanorth.api.cognitive.microsoft.com
    • South Central US - southcentralus.api.cognitive.microsoft.com
    • Southeast Asia - southeastasia.api.cognitive.microsoft.com
    • UK South - uksouth.api.cognitive.microsoft.com
    • West Central US - westcentralus.api.cognitive.microsoft.com
    • West Europe - westeurope.api.cognitive.microsoft.com
    • West US - westus.api.cognitive.microsoft.com
    • West US 2 - westus2.api.cognitive.microsoft.com
  13. LUIS Endpoint API v3.0

    This API is currently available in:

    • Australia East - australiaeast.api.cognitive.microsoft.com
    • Brazil South - brazilsouth.api.cognitive.microsoft.com
    • Canada Central - canadacentral.api.cognitive.microsoft.com
    • Central India - centralindia.api.cognitive.microsoft.com
    • Central US - centralus.api.cognitive.microsoft.com
    • East Asia - eastasia.api.cognitive.microsoft.com
    • East US - eastus.api.cognitive.microsoft.com
    • East US 2 - eastus2.api.cognitive.microsoft.com
    • France Central - francecentral.api.cognitive.microsoft.com
    • Japan East - japaneast.api.cognitive.microsoft.com
    • Japan West - japanwest.api.cognitive.microsoft.com
    • Korea Central - koreacentral.api.cognitive.microsoft.com
    • North Central US - northcentralus.api.cognitive.microsoft.com
    • North Europe - northeurope.api.cognitive.microsoft.com
    • South Africa North - southafricanorth.api.cognitive.microsoft.com
    • South Central US - southcentralus.api.cognitive.microsoft.com
    • Southeast Asia - southeastasia.api.cognitive.microsoft.com
    • UK South - uksouth.api.cognitive.microsoft.com
    • West Central US - westcentralus.api.cognitive.microsoft.com
    • West Europe - westeurope.api.cognitive.microsoft.com
    • West US - westus.api.cognitive.microsoft.com
    • West US 2 - westus2.api.cognitive.microsoft.com
  14. LUIS Endpoint API v3.0-preview

    This API is currently available in:

    • Australia East - australiaeast.api.cognitive.microsoft.com
    • Brazil South - brazilsouth.api.cognitive.microsoft.com
    • Canada Central - canadacentral.api.cognitive.microsoft.com
    • Central India - centralindia.api.cognitive.microsoft.com
    • Central US - centralus.api.cognitive.microsoft.com
    • East Asia - eastasia.api.cognitive.microsoft.com
    • East US - eastus.api.cognitive.microsoft.com
    • East US 2 - eastus2.api.cognitive.microsoft.com
    • France Central - francecentral.api.cognitive.microsoft.com
    • Japan East - japaneast.api.cognitive.microsoft.com
    • Japan West - japanwest.api.cognitive.microsoft.com
    • Korea Central - koreacentral.api.cognitive.microsoft.com
    • North Central US - northcentralus.api.cognitive.microsoft.com
    • North Europe - northeurope.api.cognitive.microsoft.com
    • South Africa North - southafricanorth.api.cognitive.microsoft.com
    • South Central US - southcentralus.api.cognitive.microsoft.com
    • Southeast Asia - southeastasia.api.cognitive.microsoft.com
    • UK South - uksouth.api.cognitive.microsoft.com
    • West Central US - westcentralus.api.cognitive.microsoft.com
    • West Europe - westeurope.api.cognitive.microsoft.com
    • West US - westus.api.cognitive.microsoft.com
    • West US 2 - westus2.api.cognitive.microsoft.com
  15. LUIS Programmatic API

  16. LUIS Programmatic APIs v2.0

    This API is currently available in:

    • Australia East - australiaeast.api.cognitive.microsoft.com
    • West Europe - westeurope.api.cognitive.microsoft.com
    • West US - westus.api.cognitive.microsoft.com
  17. LUIS Programmatic APIs v3.0

    This API is currently available in:

    • Australia East - australiaeast.api.cognitive.microsoft.com
    • West Europe - westeurope.api.cognitive.microsoft.com
    • West US - westus.api.cognitive.microsoft.com
  18. LUIS Programmatic APIs v3.0-preview

    This API is currently available in:

    • Australia East - australiaeast.api.cognitive.microsoft.com
    • West Europe - westeurope.api.cognitive.microsoft.com
    • West US - westus.api.cognitive.microsoft.com
  19. Microsoft Azure Metrics Advisor REST API

    Microsoft Azure Metrics Advisor REST API

  20. Microsoft Azure Metrics Advisor REST API v1.1-preview.1

    Microsoft Azure Metrics Advisor REST API (v1.1-preview.1)

  21. Microsoft Cognitive Language Service

    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 https://docs.microsoft.com/en-us/azure/cognitive-services/language-service/overview.0

  22. Microsoft Cognitive Language Service - 2021-11-01-preview

    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 https://docs.microsoft.com/en-us/azure/cognitive-services/text-analytics/overview.0

  23. Microsoft Cognitive Language Service - 2022-02-01-preview

    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 https://docs.microsoft.com/en-us/azure/cognitive-services/text-analytics/overview.0

  24. Microsoft Cognitive Language Service - 2022-03-01-preview

    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 https://docs.microsoft.com/en-us/azure/cognitive-services/text-analytics/overview.0

  25. Microsoft Cognitive Language Service - 2022-04-01-preview

    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 https://docs.microsoft.com/en-us/azure/cognitive-services/text-analytics/overview.0

  26. Microsoft Cognitive Language Service - 2022-05-15-preview

    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 https://docs.microsoft.com/en-us/azure/cognitive-services/language-service/overview.0

  27. Microsoft Cognitive Language Service - 2022-07-01-preview

    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 https://docs.microsoft.com/en-us/azure/cognitive-services/language-service/overview.0

  28. News Search API - v7

    The News API lets partners send a search query to Bing and get back a list of relevant news articles. Note you should call the News API if you need news content only. If you need other content such as images and webpages in addition to images, you must call the Search API which includes news articles in the response. You must display the news articles in the order provided in the response.

  29. Personalizer API

    Personalizer Service is an Azure Cognitive Service that makes it easy to target content and experiences without complex pre-analysis or cleanup of past data. Given a context and featurized content, the Personalizer Service returns your content in a ranked list. As rewards are sent in response to the ranked list, the reinforcement learning algorithm will improve the model and improve performance of future rank calls.

  30. Personalizer Client 2022-09-01-preview

    Personalizer Service is an Azure Cognitive Service that makes it easy to target content and experiences without complex pre-analysis or cleanup of past data. Given a context and featurized content, the Personalizer Service returns which content item to show to users in rewardActionId. As rewards are sent in response to the use of rewardActionId, the reinforcement learning algorithm will improve the model and improve performance of future rank calls.

  31. Personalizer Client v1.1-preview.1

    Personalizer Service is an Azure Cognitive Service that makes it easy to target content and experiences without complex pre-analysis or cleanup of past data. Given a context and featurized content, the Personalizer Service returns which content item to show to users in rewardActionId. As rewards are sent in response to the use of rewardActionId, the reinforcement learning algorithm will improve the model and improve performance of future rank calls.

  32. Personalizer Client v1.1-preview.2

    Personalizer Service is an Azure Cognitive Service that makes it easy to target content and experiences without complex pre-analysis or cleanup of past data. Given a context and featurized content, the Personalizer Service returns which content item to show to users in rewardActionId. As rewards are sent in response to the use of rewardActionId, the reinforcement learning algorithm will improve the model and improve performance of future rank calls.

  33. Personalizer Client v1.1-preview.3

    Personalizer Service is an Azure Cognitive Service that makes it easy to target content and experiences without complex pre-analysis or cleanup of past data. Given a context and featurized content, the Personalizer Service returns which content item to show to users in rewardActionId. As rewards are sent in response to the use of rewardActionId, the reinforcement learning algorithm will improve the model and improve performance of future rank calls.

  34. Speech Services API v3.1

    Speech Services API v3.1.

  35. Speech Services API v3.1-preview.1

    Speech Services API v3.1-preview.1.

  36. Speech to Text API v2.0

    Speech to Text API v2.0.

  37. Speech to Text API v3.0

    Speech to Text API v3.0.

  38. Spell Check API - v7

  39. Spell Check API - v8

  40. Text Analytics API (v2.0)

    The Text Analytics API is a suite of text analytics web services 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 and language detection. No training data is needed to use this API; just bring your text data. This API uses advanced natural language processing techniques to deliver best in class predictions.

    Further documentation can be found in https://docs.microsoft.com/en-us/azure/cognitive-services/text-analytics/overview

    This API is currently available in:

    • Australia East - australiaeast.api.cognitive.microsoft.com
    • Brazil South - brazilsouth.api.cognitive.microsoft.com
    • Canada Central - canadacentral.api.cognitive.microsoft.com
    • Central India - centralindia.api.cognitive.microsoft.com
    • Central US - centralus.api.cognitive.microsoft.com
    • East Asia - eastasia.api.cognitive.microsoft.com
    • East US - eastus.api.cognitive.microsoft.com
    • East US 2 - eastus2.api.cognitive.microsoft.com
    • France Central - francecentral.api.cognitive.microsoft.com
    • Japan East - japaneast.api.cognitive.microsoft.com
    • Japan West - japanwest.api.cognitive.microsoft.com
    • Korea Central - koreacentral.api.cognitive.microsoft.com
    • North Central US - northcentralus.api.cognitive.microsoft.com
    • North Europe - northeurope.api.cognitive.microsoft.com
    • South Africa North - southafricanorth.api.cognitive.microsoft.com
    • South Central US - southcentralus.api.cognitive.microsoft.com
    • Southeast Asia - southeastasia.api.cognitive.microsoft.com
    • UK South - uksouth.api.cognitive.microsoft.com
    • West Central US - westcentralus.api.cognitive.microsoft.com
    • West Europe - westeurope.api.cognitive.microsoft.com
    • West US - westus.api.cognitive.microsoft.com
    • West US 2 - westus2.api.cognitive.microsoft.com
  41. Text Analytics API (v2.1)

    The Text Analytics API is a suite of text analytics web services 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 and entity extraction as well as language detection. No training data is needed to use this API; just bring your text data. This API uses advanced natural language processing techniques to deliver best in class predictions.

    Further documentation can be found in https://docs.microsoft.com/en-us/azure/cognitive-services/text-analytics/overview

    This API is currently available in:

    • Australia East - australiaeast.api.cognitive.microsoft.com
    • Brazil South - brazilsouth.api.cognitive.microsoft.com
    • Canada Central - canadacentral.api.cognitive.microsoft.com
    • Central India - centralindia.api.cognitive.microsoft.com
    • Central US - centralus.api.cognitive.microsoft.com
    • East Asia - eastasia.api.cognitive.microsoft.com
    • East US - eastus.api.cognitive.microsoft.com
    • East US 2 - eastus2.api.cognitive.microsoft.com
    • France Central - francecentral.api.cognitive.microsoft.com
    • Japan East - japaneast.api.cognitive.microsoft.com
    • Japan West - japanwest.api.cognitive.microsoft.com
    • Korea Central - koreacentral.api.cognitive.microsoft.com
    • North Central US - northcentralus.api.cognitive.microsoft.com
    • North Europe - northeurope.api.cognitive.microsoft.com
    • South Africa North - southafricanorth.api.cognitive.microsoft.com
    • South Central US - southcentralus.api.cognitive.microsoft.com
    • Southeast Asia - southeastasia.api.cognitive.microsoft.com
    • UK South - uksouth.api.cognitive.microsoft.com
    • West Central US - westcentralus.api.cognitive.microsoft.com
    • West Europe - westeurope.api.cognitive.microsoft.com
    • West US - westus.api.cognitive.microsoft.com
    • West US 2 - westus2.api.cognitive.microsoft.com
  42. Text Analytics API (v3.0)

    The Text Analytics API is a suite of text analytics web services 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 and language detection. No training data is needed to use this API; just bring your text data. This API uses advanced natural language processing techniques to deliver best in class predictions. Further documentation can be found in https://docs.microsoft.com/en-us/azure/cognitive-services/text-analytics/overview

  43. Text Analytics API (v3.1)

    The Text Analytics API is a suite of natural language processing (NLP) services 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 and language detection. Functionality for analysis of text specific to the healthcare domain and personal information are also available in the API. Further documentation can be found in https://docs.microsoft.com/en-us/azure/cognitive-services/text-analytics/overview

  44. Text Analytics API (v3.1-preview.1)

    The Text Analytics API is a suite of text analytics web services 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 and language detection. No training data is needed to use this API; just bring your text data. This API uses advanced natural language processing techniques to deliver best in class predictions. Further documentation can be found in https://docs.microsoft.com/en-us/azure/cognitive-services/text-analytics/overview

  45. Text Analytics API (v3.1-preview.2)

    The Text Analytics API is a suite of text analytics web services 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 and language detection. No training data is needed to use this API; just bring your text data. This API uses advanced natural language processing techniques to deliver best in class predictions. Further documentation can be found in https://docs.microsoft.com/en-us/azure/cognitive-services/text-analytics/overview

  46. Text Analytics API (v3.1-preview.3)

    The Text Analytics API is a suite of natural language processing (NLP) services built with best-in-class Microsoft machine learning algorithms. The API can be used to analyze unstructured text using NLP tasks such as sentiment analysis, named entity recognition (NER) of general and personally identifiable information domains, key phrase extraction (KPE) and language detection. It can also be used to batch NER and KPE operations asynchronously to process documents with a single request. Furthermore, this API provides an asynchronous operation for analyzing unstructured clinical and biomedical text using NER, entity linking, relation extraction and entity negation tasks. More documentation can be found in https://docs.microsoft.com/en-us/azure/cognitive-services/text-analytics/overview

  47. Text Analytics API (v3.1-preview.4)

    The Text Analytics API is a suite of natural language processing (NLP) services built with best-in-class Microsoft machine learning algorithms. The API can be used to analyze unstructured text using NLP tasks such as sentiment analysis, named entity recognition (NER) of general and personally identifiable information domains, key phrase extraction (KPE) and language detection. It can also be used to batch NER and KPE operations asynchronously to process documents with a single request. Furthermore, this API provides an asynchronous operation for analyzing unstructured clinical and biomedical text using NER, entity linking, relation extraction and entity negation tasks. More documentation can be found in https://docs.microsoft.com/en-us/azure/cognitive-services/text-analytics/overview

  48. Text Analytics API (v3.1-preview.5)

    The Text Analytics API is a suite of natural language processing (NLP) services built with best-in-class Microsoft machine learning algorithms. The API can be used to analyze unstructured text using NLP tasks such as sentiment analysis, named entity recognition (NER) of general and personally identifiable information domains, key phrase extraction (KPE) and language detection. It can also be used to batch NER and KPE operations asynchronously to process documents with a single request. Furthermore, this API provides an asynchronous operation for analyzing unstructured clinical and biomedical text using NER, entity linking, relation extraction and entity negation tasks. More documentation can be found in https://docs.microsoft.com/en-us/azure/cognitive-services/text-analytics/overview

  49. Text Analytics API (v3.2-preview.1)

    The Text Analytics API is a suite of natural language processing (NLP) services 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 and language detection. Functionality for analysis of text specific to the healthcare domain and personal information are also available in the API. Further documentation can be found in https://docs.microsoft.com/en-us/azure/cognitive-services/text-analytics/overview

  50. Text Analytics API (v3.2-preview.2)

    The Text Analytics API is a suite of natural language processing (NLP) services 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 and language detection. Functionality for analysis of text specific to the healthcare domain and personal information are also available in the API. Further documentation can be found in https://docs.microsoft.com/en-us/azure/cognitive-services/text-analytics/overview