Explore the structure of your text
You know what your users are saying, but do you know what it means? The Linguistic API uses advanced linguistic analysis tools for natural language processing, giving you access to part-of-speech tagging and parsing. These tools allow you to hone in on important concepts and actions.
The API can tap into traditional linguistic analysis tools that allow you to identify the concepts and actions in your text with part-of-speech tagging, and find phrases and concepts using natural language parsers. Whether you’re mining customer feedback, interpreting user commands or consuming web text, understanding the structure of the text is a critical first step.
See it in action
By uploading data for this demo, you agree that Microsoft may store it and use it to improve Microsoft services, including this API. To help protect your privacy, we take steps to de-identify your data and keep it secure. We won’t publish your data or let other people use it.
Sentence separation and tokenisation
Given a body of text, one of the first steps in analysis is to break it down into sentences and tokens.
When your text has been split into tokens, you can find the nouns (entities, people, places, things etc.), verbs (actions, changes of state) and more using part-of-speech tagging.
Determine the internal structure and meaning of a sentence (entities, purpose etc.) by breaking it into labelled phrases. This helps you understand who is doing what to whom.
Explore the Cognitive Services APIs
Video API PREVIEW
Intelligent video processing produces a stable video output, detects motion, creates intelligent thumbnails and detects and tracks faces
Teach your apps to understand commands from your users
Help users correct spelling errors, recognise the difference among names, brand names and slang, as well as understand homophones as they’re typing
Empower users to type less and do more with automated and complete search suggestions
Knowledge Exploration Service PREVIEW
Enable interactive search experiences over structured data via natural language inputs.