Don't miss your chance to take the Fabric Data Engineer (DP-600) exam for FREE! Find out how by watching the DP-600 session on-demand now through April 28th.
Learn moreJoin the FabCon + SQLCon recap series. Up next: Power BI, Real-Time Intelligence, IQ and AI, and Data Factory take center stage. All sessions are available on-demand after the live show. Register now
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,
Solved! Go to Solution.
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.
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.
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.
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.
Check out the April 2026 Power BI update to learn about new features.
If you have recently started exploring Fabric, we'd love to hear how it's going. Your feedback can help with product improvements.
A new Power BI DataViz World Championship is coming this June! Don't miss out on submitting your entry.
| User | Count |
|---|---|
| 48 | |
| 40 | |
| 38 | |
| 20 | |
| 17 |
| User | Count |
|---|---|
| 68 | |
| 65 | |
| 30 | |
| 26 | |
| 25 |