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Song Hit Prediction: Predicting Billboard Hits Using Spotify Data
August 22, 2019 Β· Declared Dead Β· π arXiv.org
"No code URL or promise found in abstract"
Evidence collected by the PWNC Scanner
Authors
Kai Middlebrook, Kian Sheik
arXiv ID
1908.08609
Category
cs.IR: Information Retrieval
Cross-listed
cs.LG,
stat.ML
Citations
19
Venue
arXiv.org
Last Checked
4 months ago
Abstract
In this work, we attempt to solve the Hit Song Science problem, which aims to predict which songs will become chart-topping hits. We constructed a dataset with approximately 1.8 million hit and non-hit songs and extracted their audio features using the Spotify Web API. We test four models on our dataset. Our best model was random forest, which was able to predict Billboard song success with 88% accuracy.
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