Summarize text with Text Analytics API

This post has been republished via RSS; it originally appeared at: New blog articles in Microsoft Tech Community.

Text Analytics extractive summarization is in public preview!

ylxiong_0-1628032473948.png

The extractive summarization feature in Text Analytics uses natural language processing techniques to locate key sentences in an unstructured text document. These sentences collectively convey the main idea of the document. This feature is provided as an API for developers. They can use it to build intelligent solutions based on the relevant information extracted to support various use cases.

 

In the public preview, extractive summarization supports 10 languages.  It is based on pretrained multilingual transformer models, part of our quest for holistic representations.  It draws its strength from transfer learning across monolingual and harness the shared nature of languages to produce models of improved quality and efficiency. The 10 languages are English, Spanish, French, Italian, German, Chinese (Simplified), Japanese, Korean,  Portuguese (Portugal), and Portuguese (Brazilian). 

Learn more about Text Analytics extractive summarization

 

References:

Quickstart offers an easy way to get started with any of the Text Analytics offerings.

Text Analytics v3.1 GA Announcement

 

 

REMEMBER: these articles are REPUBLISHED. Your best bet to get a reply is to follow the link at the top of the post to the ORIGINAL post! BUT you're more than welcome to start discussions here:

This site uses Akismet to reduce spam. Learn how your comment data is processed.