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May 4, 2018 · To answer these questions, we made use of the Million Song Dataset provided by Columbia, Spotify’s API, and machine learning prediction models. We present a model that can predict how likely a song will be a hit, defined by making it on Billboard’s Top 100, with over 68% accuracy.
- Mohamed Nasreldin
May 8, 2020 · My failed choices left me seeking to understand if song popularity can be predicted and what that looks like. And so my quest to build a prediction model for song popularity began…
Nov 1, 2023 · Abstract. Comprehending the aspects that impact song popularity has become crucial in the always changing music industry. This study explores the field of music popularity predictive modeling...
The best model we trained, Logistic Regression, performed 15% better compared to the dummy classifier at 66% correct predictions for a song being popular. Aside from the models, we additionally explored different attributes within the popular songs and the unpopular songs separately.
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 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.
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What is predicting popular songs based on machine learning?
What is music popularity predictive modeling?
Can predicting popular songs be used to make customized music suggestions?
Can lyrics predict a song's popularity?
Predicting popular songs can be applied to the problem of predicting preferred songs for a given population. Making predictions of song popularity based on machine learning, often referred to as Hit Song Science, is a problem that has gained a lot of traction within the past 10 years.
