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Labs

Analyzing Text with Text Analytics on Azure

In this hands-on lab, you’ll use a pre-provided command line application to utilize Azure AI Language to analyze text for positivity, key phrases, and entities.

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Path Info

Level
Clock icon Beginner
Duration
Clock icon 45m
Published
Clock icon Dec 16, 2021

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By filling out this form and clicking submit, you acknowledge our privacy policy.

Table of Contents

  1. Challenge

    Look at the example reviews below and sign into the Azure portal

    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, along with what key phrases or entities might come back.

    Login to the Azure portal using the credentials provided on the lab page

  2. Challenge

    Open the cloud shell

    If you are unfamiliar with the cloud shell, it is the first icon to the right of the search bar. It looks like a command prompt icon.

  3. Challenge

    Prepare the application

    Run the following command to clone the GitHub repository that contains the text analytics application

    git clone https://github.com/pluralsight-cloud/ai-900-azure-ai-fundamentals-natural-language-processing-workloads.git

    Change directory into the created folder and install application requirements by running the following command

    pip install -r requirements.txt

  4. Challenge

    Modify the pre-provided command line application

    • Copy KEY 1 from the Azure AI resource and paste it into the 1-text-analytics.py python file replacing the text that says "KEY" Make sure to keep the quotation marks around the key.

    • Copy the Endpoint from the Azure AI resource and paste it into the 1-text-analytics.py python file replacing the text that says "ENDPOINT" Make sure to keep the quotation marks around the endpoint.

    • Save the file by pressing Crtl+S or by clicking on the right hand side of the editor below the X and hit save.

  5. Challenge

    Run the application and analyze the reviews

    Run the application by using the following command:

    python 1-text-analytics.py

    Review results of the text analysis

A Cloud Guru - Labs - Analyzing Text with Text Analytics on Azure
Author
A Cloud Guru

The Cloud Content team comprises subject matter experts hyper focused on services offered by the leading cloud vendors (AWS, GCP, and Azure), as well as cloud-related technologies such as Linux and DevOps. The team is thrilled to share their knowledge to help you build modern tech solutions from the ground up, secure and optimize your environments, and so much more!

What's a lab?

Hands-on Labs are real environments created by industry experts to help you learn. These environments help you gain knowledge and experience, practice without compromising your system, test without risk, destroy without fear, and let you learn from your mistakes. Hands-on Labs: practice your skills before delivering in the real world.

Provided environment for hands-on practice

We will provide the credentials and environment necessary for you to practice right within your browser.

Guided walkthrough

Follow along with the author’s guided walkthrough and build something new in your provided environment!

Did you know?

On average, you retain 75% more of your learning if you get time for practice.

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