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Azure’s AI language service: Summarize and extract themes from interview transcripts

Saves your time and enhances productivity

5 min. read

Published onMay 29, 2024

published onMay 29, 2024

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If you constantly have to sieve through interview transcripts and don’t want to go through the time-intensive process, you can use Azure AI/ML. It is a revolutionary solution that automates creating summaries and extracting themes from interview transcripts.

What is document and conversation summarization?

What is document and conversation summarization?

Summarization is one of the key features of Azure AI-Language services, a collection of ML and AI algorithms in the cloud fordeveloping intelligent applications that involve written language.

Here are the main features mentioned by Microsoft in the official blog:

How does it work?

Azure AI/ML services is a suite of tools for summarization. With Azure AI-Language service and Azure OpenAI GPT-3, you can automate the summarization process.

Furthermore, the extractive summarization API provides a way to highlight key sentences that highlight important information in a transcript.

Here is how it is explained in theofficial blog:

How can I get started?

You need an Azure account with a subscription. To create one, go to the Azure portal. You also need an Azure blob storage account to store documents that need to be extracted.

With minimal machine-learning expertise and Azure’s AI Language Service, you can identify jey terms and phrases, determine the emotional tone to understand the context, summarize documents using extractive and abstraction techniques, and create intelligent chatbots and virtual assistants.

What are the steps to summarize a transcript?

First, go to theAzure Portaland sign in with credentials for access or subscription to your resource. On the Azure Portal landing page, click theSearchbutton, and underServices, selectLanguage.

ClickCreateto create an Azure AI language service on theLanguage servicepage. On theSelect additional featurespage, chooseOption 2to select custom summarization and text analytics, then clickContinue to create your resource.

On theCreate Languagepage, select a subscription, create a resource group, choose the region to deploy in, type in the resource name, select the pricing tier, and clickNext.

On the following page, choose a storage account, type the inn storage account name and account type, and then clickNext. Once you have entered the details, you can clickReview + createto complete the process.

Once it is deployed, go to the resource and open it, then clickLanguage Studio. Choose a preferred language or Azure resource that you deployed, mention the number of sentences you want in the summary, and specify your summary interest.

Now upload the .txt file with the interview transcript, place the checkmark next to the I acknowledge box, and clickRun. If you have selected everything correctly, you will get a response like this. This output is available for 24 hours to retrieve.

To conclude, the Azure AI/ML services streamline transcript analysis, saving time and improving accuracy. The user-friendly interface and powerful algorithms, you can extract insights from text data without any issues.

It is safe to say that Azure AI/ML is revolutionizing the way we process information, offering a game-changing tool for researchers and professionals alike.

What are your thoughts on the matter? Share your views with our readers in the comments section below.

Srishti Sisodia

Windows Software Expert

Srishti Sisodia is an electronics engineer and writer with a passion for technology. She has extensive experience exploring the latest technological advancements and sharing her insights through informative blogs.

Her diverse interests bring a unique perspective to her work, and she approaches everything with commitment, enthusiasm, and a willingness to learn. That’s why she’s part of Windows Report’s Reviewers team, always willing to share the real-life experience with any software or hardware product. She’s also specialized in Azure, cloud computing, and AI.

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Srishti Sisodia

Windows Software Expert

She is an electronics engineer and writer with a passion for technology. Srishti is specialized in Azure, cloud computing, and AI.