Predicting Afrobeats Hit Songs Using Spotify Data
Information Retrieval
2020-08-11 v2 Machine Learning
Sound
Audio and Speech Processing
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%.
Keywords
Cite
@article{arxiv.2007.03137,
title = {Predicting Afrobeats Hit Songs Using Spotify Data},
author = {Adewale Adeagbo},
journal= {arXiv preprint arXiv:2007.03137},
year = {2020}
}