kevinschaich/billboard
🎤 Lyrics/associated NLP data for Billboard's Top 100, 1950-2015.
This project offers a dataset and analysis of Billboard Top 100 song lyrics from 1950-2015. It takes raw lyrics and song metadata, then processes them to output metrics on sentiment, readability (like Flesch-Kincaid grade level), and lyrical repetition, categorized by genre. Music researchers, cultural critics, or anyone interested in popular music trends would find this useful for studying how song characteristics have changed over time.
No commits in the last 6 months.
Use this if you want to analyze trends in popular song lyrics, such as sentiment or readability, across different genres and decades.
Not ideal if you need a complete dataset of every song's lyrics from this period, as some older songs have missing lyric data.
Stars
91
Forks
50
Language
JavaScript
License
MIT
Category
Last pushed
Apr 26, 2024
Commits (30d)
0
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