arXiv
Open Access
2019
Song Hit Prediction: Predicting Billboard Hits Using Spotify Data
Kai Middlebrook
Kian Sheik
Abstrak
In this work, we attempt to solve the Hit Song Science problem, which aims to predict which songs will become chart-topping hits. We constructed a dataset with approximately 1.8 million hit and non-hit songs and extracted their audio features using the Spotify Web API. We test four models on our dataset. Our best model was random forest, which was able to predict Billboard song success with 88% accuracy.
Penulis (2)
K
Kai Middlebrook
K
Kian Sheik
Akses Cepat
Informasi Jurnal
- Tahun Terbit
- 2019
- Bahasa
- en
- Sumber Database
- arXiv
- Akses
- Open Access ✓