Using Text Analytics in the Azure Cognitive Services API
Lab Steps
The hands-on lab is part of these learning paths
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Description
Azure AI is Microsoft's solution for many of the most popular and widely-used AI and machine learning needs today. It incorporates a wide range of different tools that offer different AI-related services, such as text analytics, speech and image recognition, interacting with humans, making intelligent predictions and more. Artificial intelligence has been applied to nearly every existing industry today, and companies use Azure AI in particular because of the breadth of its offerings and its easy integration with existing Azure tools, such as Azure function apps and web services.
The Cognitive Services API is a comprehensive solution offering a number of different services in one consolidated API, including speech and text analysis. In this lab, you will practice making requests to the Text Analytics API within the Azure Cognitive Services API, using an Azure function app to make the API requests.
Lab Objectives
Upon completion of this lab you will be able to:
- Connect an Azure Function App to the Text Analytics API
- Use the Text Analytics API to detect languages and analyze sentiment in text
Intended Audience
This lab is intended for:
- Developers
- Cloud engineers
- Anyone aiming to implement AI or machine learning within their workflow
Prerequisites
You should be familiar with:
- The principles of Node.js is helpful but not required
- The principles of the Azure Portal is helpful but not required
Updates
March 10th, 2022 - Updated the instructions and screenshots to reflect the latest UI
July 29th, 2020 - Updated the content to match the latest Azure Portal experience
Matt has worked for multiple Fortune 500 companies as a DevOps Engineer and Solutions Architect. He is an AWS Certified DevOps Engineer - Professional, and an AWS Certified Solution Architect - Associate. He enjoys reading and learning new technologies.