Journal of Korea Multimedia Society (한국멀티미디어학회논문지)

Korea Multimedia Society (한국멀티미디어학회)
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Music Lyrics Summarization Method using TextRank Algorithm

TextRank 알고리즘을 이용한 음악 가사 요약 기법

  • Son, Jiyoung (Dept. of Software, Graduate School of Software Soongsil University) ;
  • Shin, Yongtae (Dept. of Computer Science & Engineering, Soongsil University)
  • Received : 2017.10.24
  • Accepted : 2017.12.27
  • Published : 2018.01.31
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Abstract

This research paper describes how to summarize music lyrics using the TextRank algorithm. This method can summarize music lyrics as important lyrics. Therefore, we recommend music more effectively than analyzing the number of words and recommending music.

Keywords

References

  1. G. Park, S. Park, and S. Kang, "Effective Mood Classification Method Based on Music Segments," Journal of Korea Multimedia Society, Vol. 10, No. 3, pp. 391-400, 2007.
  2. S. Jin and B. Choi, "The Influences of Song Lyrics for the Perceived Preferences of Music Listening," Korean Journal of Music Therapy, Vol. 8, No. 1, pp. 74-82. 2006.
  3. C. Lee, H. Bang, and J. Lee, "Music Recommendation System Using Text Analysis of Lyrics," Proceeding of the Fall Conference of the Korea Institute of Intelligent Systems, pp. 99-100, 2015.
  4. J. Lee, H. Lim, and H. Kim, "Similarity Evaluation of Popular Music Based on Emotion and Structure of Lyrics," Korea Institute of Information Scientists and Engineers Transactions on Computing Practices, Vol. 22, No. 10, pp. 479-487, 2016.
  5. S. Brin and L. Page, "The Anatomy of a Large-scale Hypertextual Web Search Engine," Computer Networks and Integrated Service Digital Network Systems, Vol. 30, pp. 107-117, 1998.
  6. S. Koh, “A Study on Applying Storytelling for teaching Song-Lyrics: Focusing on Story-Making,” Teacher Education Research, Vol. 54, No. 4, pp. 561-572, 2015.
  7. R. Mihalcea and P. Tarau, "TextRank: Bringing Order into Texts," Proceeding of the Conference on Empirical Methods in Natural Language Processing, pp. 404-411, 2004.
  8. I. An, H. Kim, and H. Kim, "A User Timeline Summarization Technique Using TextRank Algorithm," Journal of Koreastudies Information Sservice System : Databases, Vol. 39, No. 4, pp. 238-245, 2012.
  9. S. Lee and H. Kim, "Keyword Extraction from News Corpus Using Modified TF-IDF," The Journal of Society for e-Business Studies, Vol. 14, No. 4, pp. 59-73, 2009.
  10. S. Robertson, "Understanding Inverse Document Frequency: on Theoretical Arguments for IDF," Journal of Documentation, Vol. 60, No. 5, pp. 503-520, 2004. https://doi.org/10.1108/00220410410560582
  11. SpookyQubit/TextRank Github, https://github.com/spookyQubit/TextRank/ (accessed, Oct., 17, 2017).
  12. Summa NLP, https://github.com/summanlp/textrank (accessed, Oct., 17, 2017).