~/talk

Discover Inspirational Insights in Motivational Sports Speeches Using

Talkat PyData Global 2022 · 2022-12-01..12-03· [machine-learning, data-visualization]
linkedin:tonyasims
slides:none on file

A pipeline transcribes pre‑recorded sports speeches with the Deepgram Python SDK, extracts summaries, topics, and sentiment, and visualizes word clouds and sentiment bars using pandas and matplotlib. Topic detection flags Daryl Green as religion‑heavy, Kobe as win‑driven, Serena as the most positive with sentiment 44.4%, and Jimmy Valvano as emotionally cancer‑focused. A profanity filter removes curse words from transcripts. The JSON output is parsed and aggregated successfully, and a motivational routine claimed a real result: a team later beats its nemesis by 20 points.

AI-written summary · about

  1. 0:00Motivational sports speeches
  2. 3:20Introduction
  3. 6:31Daryl Green’s Hall of Fame speech
  4. 8:38Kobe Bryant’s talk
  5. 10:29Serena Williams’ speech
  6. 12:20Jimmy Valvano’s ESPYs speech
  7. 14:26Sentiment analysis
  8. 19:30Profanity filter demo
  9. 21:36Inspiration overcoming rival
  10. 22:40Conclusion
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