And Today... What Do We Watch? Analyzing Movie Reviews with Python
summary
Shows how to build a simple movie/series profiler in Python by scraping user reviews from sites like IMDb and FilmAffinity and applying Natural Language Processing: topic modeling to discover main themes per title and sentiment analysis to see how critics position each theme, so users can filter films by topics and reception.
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chapters (15)
- 0:00Introduction
- 2:12Problem context
- 7:06Topic model theory
- 9:12NLP workflow
- 11:43Corpus preparation
- 13:05Dataset description
- 14:14Initial processing
- 17:47LDA model training
- 20:57Model filtering
- 23:27Linguistic filter tuning
- 24:52Results evaluation
- 25:14Movie application
- 26:37Random review test
- 28:02Summary
- 28:53Q&A
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