siddgood/billboard-hit-prediction
:notes: Predicting Billboard's Year-End Hot 100 Songs using audio features from Spotify and lyrics from Musixmatch
This project helps music producers, artists, and audio engineers understand what makes a song a hit. By analyzing a song's audio characteristics (like danceability, energy, and tempo) and lyrical content, it predicts whether it will make it onto Billboard's Year-End Hot 100 list. This insight helps creative professionals fine-tune their work to better resonate with audiences.
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Use this if you are a music creator or producer looking for data-driven insights to predict song popularity and improve your chances of creating a hit.
Not ideal if you're looking for a tool that incorporates real-time trends, music award data beyond Billboard, or a deep learning approach for predictions.
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18
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Language
Jupyter Notebook
License
MIT
Category
Last pushed
Jul 14, 2024
Commits (30d)
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