APIs

  1. 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

  2. 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

  3. 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

  4. 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

  5. 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

  6. 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

  7. 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

  8. Token API V1.0

  9. Unified_Vision_APIs_Public_Preview-2022-10-12-preview

  10. Video Search API - v7

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