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[nlp-analysis] Copilot PR Conversation NLP Analysis - 2026-10-19 #70232
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🤖 Copilot PR Conversation NLP Analysis - 2026-10-19
Executive Summary
Analysis Period: Last 7 days (merged PRs only)
Repository: github/gh-aw
Total PRs Analyzed: 117
Total Messages: 0 comments, 0 reviews, 0 review comments (comment files were empty; PR title/body analyzed instead)
Average Sentiment: 0.034 (neutral)
Sentiment Analysis
No conversation timeline exists, so the chart shows mean PR-text sentiment by merge date.
Topic Analysis
Keyword Trends
Top terms: model (213), copilot (161), run (138), routing (123), agent (119), claude (119), workflow (115), fixes (108), smoke (102).
Conversation Patterns
No discussion data was available: all 117 merged PRs had empty comment files, so none had discussion and exchange or response-time metrics could not be computed.
Insights and Trends
Historical Context
Sentiment is slightly up versus the previous runs.
Recommendations
Methodology
TextBlob polarity on cleaned PR title+body; TF-IDF (1-2 grams) + K-means (k=5); n-gram counts; WordCloud.
Workflow Details
This report was automatically generated by the Copilot PR Conversation NLP Analysis workflow.
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