MusicMood: Predicting the mood of music from song lyrics using machine learning
Machine Learning
2016-11-02 v1 Computation and Language
Information Retrieval
Abstract
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.
Keywords
Cite
@article{arxiv.1611.00138,
title = {MusicMood: Predicting the mood of music from song lyrics using machine learning},
author = {Sebastian Raschka},
journal= {arXiv preprint arXiv:1611.00138},
year = {2016}
}
Comments
9 pages, 5 figures