Lyrics, music, and emotions

  • Authors:
  • Rada Mihalcea;Carlo Strapparava

  • Affiliations:
  • University of North Texas;FBK-irst

  • Venue:
  • EMNLP-CoNLL '12 Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning
  • Year:
  • 2012

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Abstract

In this paper, we explore the classification of emotions in songs, using the music and the lyrics representation of the songs. We introduce a novel corpus of music and lyrics, consisting of 100 songs annotated for emotions. We show that textual and musical features can both be successfully used for emotion recognition in songs. Moreover, through comparative experiments, we show that the joint use of lyrics and music brings significant improvements over each of the individual textual and musical classifiers, with error rate reductions of up to 31%.