arXiv:1611.00138
공식 코드 · Papers with Code
MusicMood: Predicting the mood of music from song lyrics using machine learning
원문 초록
Sentiment prediction of contemporary music can have a wide-range of applications in modern society, for instance, selecting music for public institutions such as hospitals or restaurants to potentially improve the emotional well-being of personnel, patients, and customers, respectively. In this project, music recommendation system built upon on a naive Bayes classifier, trained to predict the sentiment of songs based on song lyrics alone. The experimental results show that music corresponding to a happy mood can be detected with high precision based on text features obtained from song lyrics.
함께 살펴볼 논문
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Harnessing High-Level Song Descriptors towards Natural Language-Based Music Recommendation
MIRFLEX: Music Information Retrieval Feature Library for Extraction
Comparative Analysis of Pretrained Audio Representations in Music Recommender Systems
Enhancing Sequential Music Recommendation with Personalized Popularity Awareness
Transformers Meet ACT-R: Repeat-Aware and Sequential Listening Session Recommendation
It's Not You, It's Me: The Impact of Choice Models and Ranking Strategies on Gender Imbalance in Music Recommendation
토론
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