Forum Discussion
Text analytics with copilot
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.
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.