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Multivariate Analysis of Korean Pop Music Audio Features

Solomon, Mary Joanna
http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1617105874719868

Abstract Details

2021, Master of Science (MS), Bowling Green State University, Applied Statistics (Math).
K-pop, or Korean pop music, is a genre originating from South Korea that features various musical styles such as hip hop, R&B, and electronic dance. Modern K-pop started with Seo Taiji and Boys in 1992 and has since evolved through stylistic eras called 'generations' to become a worldwide sensation. K-pop's global popularity can be recognized by the success of groups such as BTS and BlackPink. How do the musical qualities of K-pop songs contribute to the genre's popularity? Furthermore, how have the musical qualities contributed to the evolution of becoming the global phenomenon it is today? To explore these questions and more, multivariate analysis will be performed on a curated dataset of 12,012 K-pop songs and their audio features. The audio features, collected with Spotify's Web API, include variables such as Danceability, Loudness, Acousticness, and Valence. The audio features contribution and trends in the evolution of K-pop will be analyzed with nonparametric statistical approaches, Multiple Linear Regression (MLR) and Logistic Regression models. MLR and Logistic Regression will also be used to examine the relationship between the audio features and popularity. Finally, dimension reduction of the audio features performed by Principal Components Analysis paired with K-means clustering will be utilized to explore the possibility of optimizing song clusters within K-pop.
John Chen, Dr. (Advisor)
Junfeng Shang, Dr. (Committee Member)
125 p.
Music; Statistics
Multivariate Statistics; Nonparametric Statistics; Classification; Regression; PCA; Principal Component Analysis; K-pop; Korean Pop; Music; Logistic Regression; Multiple Linear Regression; MLR; Shrinkage Methods; Ridge; Lasso; Elastic Net

Recommended Citations

Citations

  • Solomon, M. J. (2021). Multivariate Analysis of Korean Pop Music Audio Features [Master's thesis, Bowling Green State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1617105874719868

    APA Style (7th edition)

  • Solomon, Mary . Multivariate Analysis of Korean Pop Music Audio Features. 2021. Bowling Green State University, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1617105874719868.

    MLA Style (8th edition)

  • Solomon, Mary . "Multivariate Analysis of Korean Pop Music Audio Features." Master's thesis, Bowling Green State University, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1617105874719868

    Chicago Manual of Style (17th edition)

bgsu1617105874719868
1,805
© 2021, all rights reserved.
This open access ETD is published by Bowling Green State University and OhioLINK.