MusicMood: Predicting the mood of music from song lyrics using machine learning

2016/11/01 by Sebastian Raschka, Raschka, Sebastian · 1 citation
Computer Science · Neuroscience · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Machine Learning (cs.LG) #Music and Audio Processing #Neuroscience and Music Perception #Speech and Audio Processing

paper · pdf · doi:10.48550/arxiv.1611.00138

openalex publication_date 2016/11/01 · openalex created_date 2016/11/11 · openalex updated_date 2026/07/28

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.

Citations

• Distributional Structure

Cited by

• Contextual Mood Analysis with Knowledge Graph Representation for Hindi Song Lyrics in Devanagari Script

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