Paper Info
Title
MusicMood: Predicting the mood of music from song lyrics using machine learning.
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.
Year
Venue
Field
2016
arXiv: Learning
Recommender system,Mood,Contemporary classical music,Naive Bayes classifier,Speech recognition,Artificial intelligence,Lyrics,Machine learning,Mathematics
DocType
Volume
Citations 
Journal
abs/1611.00138
0
PageRank 
References 
Authors
0.34
0
1
Name
Order
Citations
PageRank
Sebastian Raschka1275.11