SpotHitPy: A Study For ML-Based Song Hit Prediction Using Spotify
Sound
2023-01-20 v1 Machine Learning
Audio and Speech Processing
Abstract
In this study, we approached the Hit Song Prediction problem, which aims to predict which songs will become Billboard hits. We gathered a dataset of nearly 18500 hit and non-hit songs and extracted their audio features using the Spotify Web API. We test four machine-learning models on our dataset. We were able to predict the Billboard success of a song with approximately 86\% accuracy. The most succesful algorithms were Random Forest and Support Vector Machine.
Keywords
Cite
@article{arxiv.2301.07978,
title = {SpotHitPy: A Study For ML-Based Song Hit Prediction Using Spotify},
author = {Ioannis Dimolitsas and Spyridon Kantarelis and Afroditi Fouka},
journal= {arXiv preprint arXiv:2301.07978},
year = {2023}
}