Azure AI Language

By Ashwin Venugopal -

 





Introduction

Azure AI Language comes with Language Studio. Language Studio enables you to investigate and incorporate language-focused AI models into your solutions using UI tools. The endpoints of these AI models can be utilized in search solutions to improve indexes.

Explore Available Features Of Azure AI Language

Here, you will examine the features that Azure AI Language provides before testing a preconfigured sentiment model in a demo-like setting. The procedures for developing, training, and implementing a unique model for conversational language comprehension will next be demonstrated.

Azure AI Language Features

Azure AI Language groups its features into the following areas-

  1. Classify text
  2. Understand questions and conversational language
  3. Extract information
  4. Summarize text
  5. Translate text

Features can be customized or predefined. Within Language Studio, preconfigured features can be tried immediately in a demo-like environment. They are usable right out of the box.

The other features with * and green cogs in their logo need user customization. In order for their models to better fit your data, you must train them. Once you have trained them, you may use the same demo-like testing environment or deploy them to power your apps.

Test and Use Preconfigured Language Features

  1. Go to the Language Studio and sign in with your Azure account.
  2. If you have not got a language resource, create one.
  3. Scroll down to the classify text section, then select Analyze sentiment and mine options.
  4. Scroll down, then select Service Review (long).
  5. Select Run.
  6. Examine the results.

You can also drill down into individual sentences for more detail. Azure AI Language then gives you guidance for how to use the model in your own apps.

Conclusion

We have successfully learnt about Azure AI language.

 








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