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Predicting Afrobeats Hit Songs Using Spotify Data
arXiv - CS - Information Retrieval Pub Date : 2020-07-07 , DOI: arxiv-2007.03137
Adewale Adeagbo

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%.

中文翻译:

使用 Spotify 数据预测 Afrobeats 热门歌曲

这项研究解决了热门歌曲科学问题,目的是预测 Afrobeats 流派中的哪些歌曲将在 Spotify 听众中流行。包含 2063 首歌曲的数据集是通过 Spotify Web API 生成的,具有提供的音频功能。随机森林和梯度提升算法被证明是成功的,F1 分数约为 86%。
更新日期:2020-08-11
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