💻 computer science
Investigating the Relationship Between Music and Human Psychology Through Big Data Analytics
This study proposes a scalable, data-driven framework utilizing LightGBM regression on the DEAM dataset to accurately predict music-induced emotional valence and arousal from acoustic features, achieving strong performance metrics that support applications in personalized recommendations and music therapy.
Original paper licensed under CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/). This is an AI-generated explanation of the paper below. It is not written or endorsed by the author. For technical accuracy, refer to the original paper. Read full disclaimer
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