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Nov 1, 2023 · This study explores the field of music popularity predictive modeling using the cutting-edge algorithms XGBoost and LightGBM. Predictive models developed by the study using a large dataset...
May 4, 2018 · This project demonstrated the possibility of predicting music hotness, identified trends in popular music, and developed feature extraction tools using Spotify’s API. XGBoost provided the best predictions on the training model, with an AUC score of 0.68.
- Mohamed Nasreldin
Jul 27, 2023 · This study contributes to the scientific literature on hit songs by examining the influence of audio features on a song's popularity using both classification and regression machine learning methods, with an emphasis on Indonesia based on consumer culture theory. Keywords:
Mar 29, 2018 · This study explores the field of music popularity predictive modeling using the cutting-edge algorithms XGBoost and LightGBM.
Mar 1, 2024 · This study aims to explore the predictive power of various machine learning models in forecasting song popularity using a dataset comprising 30,000 songs spanning different genres from 1957 to 2020.
- arXiv:2403.12079 [cs.IR]
- 14 pages
Jun 25, 2021 · What the hell is popularity in music, how do I become famous, and other gnawing existential predicaments. For my data science capstone project (shoutout to General Assembly) I was interested in finding out a bit more on how Spotify understands ‘popularity’.
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What is music popularity predictive modeling?
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Supervised classification project that predicts a song’s potential popularity based on attributes found in Spotify data to inform business strategies that can keep Spotify competitive in the current market. - ebtezcan/Spotify-Song-Popularity-Prediction.
