Predicting song popularity based on Spotify's audio features: insights from the Indonesian streaming users
Author:
Affiliation:
1. Department of Business Innovation, Monash University, BSD City, Indonesia
Publisher
Informa UK Limited
Subject
Statistics, Probability and Uncertainty,Business, Management and Accounting (miscellaneous),Statistics and Probability
Link
https://www.tandfonline.com/doi/pdf/10.1080/23270012.2023.2239824
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2. Al-Beitawi Z. Salehan M. & Zhang S. (2020a). Cluster analysis of musical attributes for top trending songs . Proceedings of the 53rd Hawaii International Conference on System Sciences .
3. What makes a song trend? Cluster analysis of musical attributes for Spotify Top trending songs;Al-Beitawi Z.;Journal of Marketing Development and Competitiveness,2020
4. Amsterdam N. (2019). Analyzing popular music using Spotify’s machine learning audio features .
5. A Model for Predicting Music Popularity on Streaming Platforms
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