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Analyzing Text with Text Analytics on Azure

In this hands-on lab, you are working as an AI Engineer for Meals In Minutes, a home-cooking restaurant. You’ve been asked to analyze reviews of the restaurant for positivity, key phrases, and entities. You’ll use a pre-provided command-line application to utilize Azure Text Analytics to analyze user reviews.

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Path Info

Clock icon Beginner
Clock icon 30m
Clock icon Dec 16, 2021

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Table of Contents

  1. Challenge

    Look at the Reviews Below and Connect to the Virtual Machine

    Review #1
    I was at this restaurant in Chicago on March 12th, all I have to say is WOW! Such fantastic food, there is a 99% chance I'll be back again!

    Review #2
    I ate here on May 17th, and it was rough. The food came out cold, the waiter was a bit of a jerk, and I just didn't like it. I won't be coming back here again.

    • Make some guesses about what the sentiment score might be for each review, along with what key phrases or entities might come back from the analysis.
    • Use a remote desktop client application to connect to the public IP address of the Windows virtual machine shown on the lab page. If you need help, visit this article on how to use the remote desktop client
  2. Challenge

    Run the Command-Line Application

    Using File Explorer, browse to C:\code\content-AI-900\ and double-click on to start the image analysis!

  3. Challenge

    Review the Results of the Text Analysis

    Look at what it detected for the sentiment, key phrases, and entities for each review.

  4. Challenge

    Bonus: Try Your Own Reviews!

    As a bonus objective, right click on the and click edit with IDLE. In the window that opens look for the red comment “Change the lines below in quotes to try your own reviews! ” and change the reviews to whatever you’d like and run it through text analytics!

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