Lyrical Sentiment Analysis
Using Spotify API to obtain audio feature data and lyrics and Tableau to produce sick visualizations.
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Billboard | 36 | 6 years ago | mit | JavaScript | ||||||
| 🎤 Lyrics/associated NLP data for Billboard's Top 100, 1950-2015. | ||||||||||
| Datadata | 15 | 4 years ago | 5 | Jupyter Notebook | ||||||
| Pulling data using both the Genius API and the Spotify API I've been able to analyze Jorge Drexler's music and get some insights and visualizations on his creative process and his songs in general; both from the lyrics side and the musical theory side. Wordcount, lexical and lyrical density, sentiment analysis and analysis of musical components like tempo, time signature and key are all taken into account. Also, in the end, gloom_index is used combining both lyrics and music. | ||||||||||
| Lyrical Sentiment Analysis | 8 | 3 years ago | mit | Jupyter Notebook | ||||||
| Using Spotify API to obtain audio feature data and lyrics and Tableau to produce sick visualizations. | ||||||||||
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Jupyter Notebook
Visualization
Spotify
Medium
Lyrics