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  1. towardsdatascience.com › song-popularity-predictorSong Popularity Predictor. Project by Mohamed Nasreldin ...

    May 4, 2018 · Predicting how popular a song will be is no easy task. 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

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  3. www.researchgate.net › publication › 376387750Machine Learning Approaches for Predicting Song Popularity: A ...

    Nov 1, 2023 · Download Citation | Machine Learning Approaches for Predicting Song Popularity: A Case Study in Music Analytics | Comprehending the aspects that impact song popularity has become crucial in the ...

  4. medium.com › m2mtechconnect › predicting-spotifyPredicting Spotify Song Popularity with Machine Learning - Medium

    Aug 24, 2021 · valence: how happy the song is; ranges from 0 to 1. popularity: ranges from 0 to 100. tempo: float typically ranging from 50 to 150. liveness: ranges from 0 to 1. loudness: float typically ranging ...

  5. www.tandfonline.com › doi › fullPredicting song popularity based on Spotify's audio features ...

    Jul 27, 2023 · The study indicates that both machine learning models yield a predictive power of nearly 69% by using classification and regression algorithms. Thus, it can be inferred that audio features can predict a song's popularity in the Indonesian market.

  6. arxiv.org › abs › 2403Beyond Beats: A Recipe to Song Popularity? A machine learning ...

    Mar 1, 2024 · Music popularity prediction has garnered significant attention in both industry and academia, fuelled by the rise of data-driven algorithms and streaming platforms like Spotify. 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. Methods: We employ Ordinary Least Squares (OLS), Multivariate Adaptive Regression Splines (MARS), Random Forest, and ...

    • arXiv:2403.12079 [cs.IR]
    • 14 pages

  7. medium.com › analytics-vidhya › predicting-songPredicting Song Popularity. A linear regression project using ...

    May 8, 2020 · The Dataset. I started by sourcing a Spotify dataset from Kaggle that contained the data of 2,000 songs. It included my target variable, a popularity score for each song. It also included the bulk ...

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  9. english.elpais.com › science-tech › 2023/08/22Can machines predict a hit song? New study finds they can and ...

    Aug 22, 2023 · The study showed that participants’ neurophysiological responses were able to predict which songs were the most popular, based on music market figures. A linear statistical model achieved a 69% success rate in identifying hit songs, and by applying machine learning, the researchers increased its accuracy to 97%. Even when analyzing the neural ...