2000 character limit reached
Predicting Afrobeats Hit Songs Using Spotify Data
Published 7 Jul 2020 in cs.IR, cs.LG, cs.SD, and eess.AS | (2007.03137v2)
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%.
Paper Prompts
Sign up for free to create and run prompts on this paper using GPT-5.
Top Community Prompts
Collections
Sign up for free to add this paper to one or more collections.