SpotHitPy: A Study For ML-Based Song Hit Prediction Using Spotify

• URL: http://arxiv.org/abs/2301.07978v1
• Date: Thu, 19 Jan 2023 10:13:52 GMT
• Title: SpotHitPy: A Study For ML-Based Song Hit Prediction Using Spotify
• Authors: Ioannis Dimolitsas, Spyridon Kantarelis, Afroditi Fouka
• Abstract summary: We gathered a dataset of nearly 18500 hit and non-hit songs. We extracted their audio features using the Spotify Web API. We were able to predict the Billboard success of a song with approximately 86% accuracy.
• Score: 0.0
• License: http://creativecommons.org/licenses/by-nc-nd/4.0/
• 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.

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