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willatkinson
Helper II
Helper II

Text analytics with copilot

Hi,

 

Has anyone had any experience with using Copilot in Power BI for text analytics?

 

If so, how have users done this and what has been the feedback?

 

 

Thanks,

 

1 ACCEPTED SOLUTION
rohit1991
Super User
Super User

Hii @willatkinson 

 

Copilot can help with text analytics in Power BI, but only for lightweight scenarios.
Users mostly use it to summarize comments, classify feedback, generate tags, or create quick sentiment-style insights while preparing a report. Copilot works well when the text volume is small to medium and the goal is to get quick AI-assisted summaries or categories  the feedback so far has been positive for exploratory analysis, not for production-grade NLP.

For enterprise-level text analytics (large volumes, sentiment scoring, key phrase extraction, language detection, topic modeling), users still rely on Azure AI Text Analytics, Python/R scripts, or Fabric Notebooks because Copilot does not yet offer model control, repeatability, or batch processing.


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3 REPLIES 3
v-tsaipranay
Community Support
Community Support

Hi @willatkinson ,

 

We haven’t received an update from you in some time. Could you please let us know if the issue has been resolved?
If you still require support, please let us know, we are happy to assist you.

 

Thank you.

v-tsaipranay
Community Support
Community Support

Hi @willatkinson ,

Thank you for reaching out to the Microsoft Fabric Community Forum.

 

Could you please let us know if the issue has been resolved? I wanted to check if you had the opportunity to review the information provided by @rohit1991 . If you still require support, please let us know, we are happy to assist you.

 

Thank you.

rohit1991
Super User
Super User

Hii @willatkinson 

 

Copilot can help with text analytics in Power BI, but only for lightweight scenarios.
Users mostly use it to summarize comments, classify feedback, generate tags, or create quick sentiment-style insights while preparing a report. Copilot works well when the text volume is small to medium and the goal is to get quick AI-assisted summaries or categories  the feedback so far has been positive for exploratory analysis, not for production-grade NLP.

For enterprise-level text analytics (large volumes, sentiment scoring, key phrase extraction, language detection, topic modeling), users still rely on Azure AI Text Analytics, Python/R scripts, or Fabric Notebooks because Copilot does not yet offer model control, repeatability, or batch processing.


Did it work? ✔ Give a Kudo • Mark as Solution – help others too!

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