• Computer Science
  • Published in ISMIR 2010

Automatic Mood Classification Using TF*IDF Based on Lyrics

@inproceedings{Zaanen2010AutomaticMC,
  title={Automatic Mood Classification Using TF*IDF Based on Lyrics},
  author={Menno van Zaanen and Pieter Kanters},
  booktitle={ISMIR},
  year={2010}
}
This paper presents the outcomes of research into using lingual parts of music in an automatic mood classification system. Using a collection of lyrics and corresponding user-tagged moods, we build classifiers that classify lyrics of songs into moods. By comparing the performance of different mood frameworks (or dimensions), we examine to what extent the linguistic part of music reveals adequate information for assigning a mood category and which aspects of mood can be classified best. Our… CONTINUE READING

Tables and Topics from this paper.

Citations

Publications citing this paper.
SHOWING 1-10 OF 60 CITATIONS

Evaluating Sentiment Similarity of Songs Based on Social Media Data

  • 2018 15th International Conference on Service Systems and Service Management (ICSSSM)
  • 2018
VIEW 1 EXCERPT
CITES METHODS

Multimodal mood classification of Hindi and Western songs

  • Journal of Intelligent Information Systems
  • 2018
VIEW 2 EXCERPTS
CITES BACKGROUND

Text-based Sentiment Analysis and Music Emotion Recognition

Erion cCano
  • 2018
VIEW 1 EXCERPT
CITES METHODS

FILTER CITATIONS BY YEAR

2011
2018

CITATION STATISTICS

  • 3 Highly Influenced Citations

  • Averaged 8 Citations per year from 2017 through 2019