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Predicting Afrobeats Hit Songs Using Spotify Data
July 07, 2020 Β· Declared Dead Β· π arXiv.org
"No code URL or promise found in abstract"
Evidence collected by the PWNC Scanner
Authors
Adewale Adeagbo
arXiv ID
2007.03137
Category
cs.IR: Information Retrieval
Cross-listed
cs.LG,
cs.SD,
eess.AS
Citations
0
Venue
arXiv.org
Last Checked
4 months ago
Abstract
This study approached the Hit Song Science problem with the aim of predicting which songs in the Afrobeats genre will become popular among Spotify listeners. A dataset of 2063 songs was generated through the Spotify Web API, with the provided audio features. Random Forest and Gradient Boosting algorithms proved to be successful with approximately F1 scores of 86%.
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