~/talk

Analyzing Rap Lyrics Using Python

Talkat Strange Loop 2014 · 2014-09-17..09-19· [data-visualization, python]
links:none on file
slides:none on file

Counts profanity to approximate sexism using a scraped Rap Genius corpus of 2700 songs, gathered for 32 artists by dumping HTML with a Firefox plugin to dump HTML since Ajax pagination blocks simple requests. Parsing uses BeautifulSoup and Pattern plus regex to extract lyrics and count the b‑word; result shows an average two b-words per song, surprising low rates for Jay‑Z and Kanye and very high rates for Little John. A proximity n‑gram test for sexist+violent co‑occurrence is underway.

AI-written summary · about

  1. 0:00Start
  2. 0:08WARNING
  3. 3:50WEST COAST
  4. 6:34DIRTY SOUTH
  5. 10:2599 PROBLEMS, AUTOSCROLL IS FIRST ONE
  6. 13:15TURNING HTML INTO LYRICS
  7. 14:04USING PATTERN
  8. 15:05BEST RAPPERS: 1 PER SONG
  9. 24:28IN DEFENSE OF SLANG
  10. 25:56BIGGIE TOP 20
  11. 26:11EMINEM TOP 20
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