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Analyzing Text by Using the Azure Text Analytics Service

Contents

keyboard_tab
Text Analytics with Azure
1
Introduction
PREVIEW1m 52s
3
Demo
5m 34s
4
Summary
1m 23s
Introduction
Overview
Difficulty
Intermediate
Duration
15m
Students
40
Ratings
5/5
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Description

This course 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 course 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 course, 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.

Transcript

Hello, and welcome to “Analyzing Text by Using the Azure Text Analytics Service”.

My name’s Emilio Melo and I’m an Azure Solutions Architect at Cloud Advantage, with a focus on Data & AI solutions. I was lucky enough to have worked for some major companies in the IT industry, such as Microsoft, IBM, NetApp and Trivago.

So who is this course for? This course is meant for developers or architects that 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.

The focus of this course is to cover how to use the Text Analytics features to detect language, and to retrieve and process key phrases, entities and sentiment from a text. We’re not going to focus much on coding, but instead focus on how to create the Azure resources and use the API.

The prerequisites are relatively low, as we will be covering Text Analytics concepts from the beginning. That being said, it would be useful if you had:

  • some Azure experience, at least with topics such as subscriptions and resource groups
  • some Cognitive Services knowledge, especially on text-related services
  • And some developer experience, including familiarity with terms such as REST API and SDK

A couple of last notes before we get started. If at any moment you need help, feel free to send an email to support@cloudacademy.com and they will be glad to assist you. Also, we’d love to get your feedback about this course, so please give it a rating when you’re finished.

Also, keep in mind that I will be using screenshots and data that were current at the time of writing this course. Feel free to reach out for any updates or corrections. 

With that out of the way, let’s get started!

About the Author
Avatar
Emilio Melo
Instructor
Students
1296
Courses
4

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.