Summary
This lesson covers how to use the text analytics features in Azure to detect language, as well as how to retrieve and process key phrases, entities, and sentiment from a text. We'll provide you with a practical understanding of these features thanks to a real-life demonstration on the Azure platform.
Learning Objectives
- Understand what text analytics is and its use cases
- Create the Azure resources for carrying out text analytics
- Use Azure to retrieve and process phrases, entities, and sentiment from a text
Intended Audience
This lesson is meant for developers or architects who would like to know more about how to use the text analytics capabilities of Azure Cognitive Service for Language to understand and process text content.
Prerequisites
To get the most out of this lesson, you should have basic Azure experience, knowledge of Azure Cognitive Services, and some developer experience, including familiarity with terms such as REST API and SDK.
Emilio Melo has been involved in IT projects in over 15 countries, with roles ranging across support, consultancy, teaching, project and department management, and sales—mostly focused on Microsoft software. After 15 years of on-premises experience in infrastructure, data, and collaboration, he became fascinated by Cloud technologies and the incredible transformation potential it brings. His passion outside work is to travel and discover the wonderful things this world has to offer.