Automatic mood classification using TF*IDF based on lyrics

Proceedings of the 11th International Society for Music Information Retrieval Conference, ISMIR 2010

Volumn , Issue , 2010, Pages 75-80

  Van Zaanen, Menno ^a   Kanters, Pieter ^a  

^a TILBURG UNIVERSITY   (Netherlands)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION SYSTEM; LEARNING CLASSIFIERS; PREDICTION-BASED; TERM FREQUENCY;

INFORMATION RETRIEVAL; LEARNING SYSTEMS;

CLASSIFICATION (OF INFORMATION);

EID: 84862936491     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (18)

1. A. Albert. Color hue and mood: The effect of variation of red hues on positive and negative mood states. Journal of the Behavioral Sciences, 1, 2007.
2. Chris Anderson. The long tail. Wired, 12.10, October 2004.
3. C.J. Beukeboom and G.R. Semin. How mood turns on language. Journal of experimental social psychology, 42(5):553-566, 2005.
4. O. Celma and P. Lamere. Tutorial on music recommendation. Eight International Conference on Music Information Retrieval: ISMIR 2007; Vienna, Austria, 2007.
5. Walter Daelemans, Jakub Zavrel, Ko van der Sloot, and Antal van den Bosch. TiMBL: Tilburg memory-based learner. Technical Report ILK 02-10, Tilburg University, Tilburg, the Netherlands, November 2002.
6. B. Haring. Beyond the Charts: Mp3 and the Digital Music Revolution. JM Northern Media LLC, 2000.
7. Hui He, Jianming Jin, Yuhong Xiong, Bo Chen, Wu Sun, and Ling Zhao. Language feature mining for music emotion classification via supervised learning from lyrics. In Proceedings of the Third International Symposium, ISICA 2008; Wuhan, China, volume 5370 of Lecture Notes in Computer Science, pages 426- 435, Berlin Heidelberg, Germany, December 2008. Springer-Verlag.
8. Xiao Hu, J. Stephen Downie, and Andreas F. Ehman. Lyric text mining in music mood classification. In Proceedings of the tenth International Society for Music Information Retrieval Conference (ISMIR); Kobe, Japan, pages 411-416, October 2009.
9. Xiao Hu, J. Stephen Downie, Cyril Laurier, Mert Bay, and Andreas F. Ehrmann. The 2007 mirex audio mood classification task: Lessons learned. In Proceedings of the 9th International Conference on Music Information Retrieval (ISMIR08), Philadelphia:PA, USA, pages 462-467, 2008.
10. Patrik N. Juslin and Petri Laukka. Expression, perception, and induction of musical emotions: A review and a questionnaire study of everyday listening. Journal of New Music Research, 33(3):217-238, September 2004.
11. Pieter Kanters. Automatic mood classification for music. Master's thesis, Tilburg University, Tilburg, the Netherlands, June 2009.
12. C. Laurier, J. Grivolla, and P. Herrera. Multimodal music mood classification using audio and lyrics. In Proceedings of the International Conference on Machine Learning and Applications (ICMLA08); San Diego:CA, USA, pages 688-693, Los Alamitos:CA, USA, 2008. IEEE Computer Society Press.
13. O.C. Meyers. A mood-based music classification and exploration system. Master's thesis, Massachusetts Institute of Technology, Cambridge:MA, USA, 2007.
14. J. Ramos. Using tf-idf to determine word relevance in document queries. In First International Conference on Machine Learning, New Brunswick:NJ, USA, 2003. Rutgers University.
15. R.E. Thayer. The Biopsychology of Mood and Arousal. Oxford University Press, New York:NY, USA, 1982.
16. C. J. van Rijsbergen. Information Retrieval. University of Glasgow, Glasgow, UK, 2nd edition, 1979. Printout.
17. Michael Voong and Russell Beale. Music organisation using colour synaesthesia. In CHI '07: CHI '07 extended abstracts on Human factors in computing systems, pages 1869-1874, New York:NY, USA, 2007. ACM Press.
18. Y. Yang, C. Liu, and H. Chen. Music emotion classification: A fuzzy approach. In Proceedings of the 14th annual ACM international conference on Multimedia; Santa Barbara:CA, USA, pages 81-84, New York:NY, USA, 2007. ACM Press.