https://github.com/zbreit/lyricalysis

An experiment in sentiment analysis of music across various genres, time periods, and albums
https://github.com/zbreit/lyricalysis

Last synced: 11 months ago
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An experiment in sentiment analysis of music across various genres, time periods, and albums

• Host: GitHub
• URL: https://github.com/zbreit/lyricalysis
• Owner: zbreit
• License: mit
• Created: 2018-05-22T19:58:36.000Z (about 8 years ago)
• Default Branch: master
• Last Pushed: 2019-09-05T00:31:08.000Z (almost 7 years ago)
• Last Synced: 2025-02-15T13:25:32.431Z (over 1 year ago)
• Language: Python
• Homepage:
• Size: 73.2 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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# Lyricalysis

An experiment in sentiment analysis of music across various genres, time periods, and albums

## Citations

The `top100ByDecade.csv` file was sourced from the following research project:

Naresh N. Vempala. (2016). Music-Decades-Top-100: Music-hits-top100. Zenodo. 10.5281/zenodo.45172

To check out more about his research, you can go to his [github](https://github.com/nvempala/Music-Decades-Top-100).