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Quantitative analysis of a half-century of K-Pop songs: Association rule analysis of lyrics and social network analysis of singers and composers

  • Published:2017-09 Issue:3 Volume:29 Page:e12225
  • ISSN:1524-2226
  • Container-title:Journal of Popular Music Studies
  • language:en
  • Short-container-title:Journal of Popular Music Studies

Author:

Yoo Yeawon1,Ju Yonghan2,Sohn So Young2

Affiliation:

1. Pohang University of Science and Technology

2. Yonsei University

Funder

National Research Foundation of Korea

Publisher

Wiley

Subject

Music

Reference41 articles.

1. Classification of music genres based on repetitive basslines;Abeßer;Journal of New Music Research,2012

2. Harnessing K-Pop for tourism;Cha;CNN Online,2012

3. Pattern filtering and classification for market basket analysis with profit-based measures;Chen;Expert Systems,2012

4. An investigation of Korean's affection reflected in popular song's lyrics;Choi;Korean Journal of Psychology,2010

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1. Exploring folk songs to educate for resilience;On the Horizon: The International Journal of Learning Futures;2023-06-13

2. Data Science Approach to Compare the Lyrics of Popular Music Artists;Unisia;2022-07-03

3. Does K-pop affect Peruvians’ Korean images and visit intention to Korea?;Current Issues in Tourism;2021-02-10

4. Discovering emerging business ideas based on crowdfunded software projects;Decision Support Systems;2019-01

5. Quantitative Sentiment Analysis of Lyrics in Popular Music;Journal of Popular Music Studies;2018-12
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