Introduction
Unit 1 of 7 · Module 16: Analyze text with Azure Language in Foundry Tools
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A river of words
Every day, people write an enormous amount of text. Emails, social posts, online reviews, contracts, support tickets. Picture it as a river of paper boats, each one carrying a message. There's useful information hidden in all of it, if a program can read it for you. Language models learn the patterns of how words are used, and what they mean, so they can pull that information out.
A mill that's already built
Wayfarer Trips, a travel company, gets reviews and messages from guests all over the world. Before anyone replies, the team wants three answers. Which language is this in? Which places, people and dates does it mention? And which personal details have to be hidden before a review goes on the website? Azure Language in Foundry Tools answers questions like these through a ready-made API. You don't build or train a model yourself. You send text, the analysis comes back, and you use it in your own apps and agents.
Plugging in from your code
In this module, you'll write Python. The same service also has client libraries for dot NET and JavaScript. Each one sends the same requests to the same service; it just speaks your programming language. Next, you'll set the service up, detect languages, find entities, and hide personal information. Then you'll put all three together in a hands-on lab.
Facts from Microsoft's documentation: What is Azure Language in Foundry Tools?; Azure Text Analytics client library for Python (CC BY 4.0), rewritten in Loop's own words and examples. Narration, animation, and quiz by Loop. Microsoft, Azure, and Microsoft Foundry are trademarks of Microsoft. Loop is independent and not affiliated with or endorsed by Microsoft.