Presentation information


Organized Session

Organized Session » OS-16

[3P5-OS-16b] OS-16 (2)

Thu. Jun 11, 2020 3:40 PM - 5:20 PM Room P (jsai2020online-16)

佐々木 淳(AOI TYO Holdings株式会社)、阿部 明典(千葉大学)

3:40 PM - 4:00 PM

[3P5-OS-16b-01] Analysis of Diuta and Kamigatauta Using Text Mining Technology

Dancing Body In the Keihan Parlor Music

〇Toshiyuki Maeda1, Masumi Yajima2 (1. Hannan University, 2. Meikai University)

Keywords:text mining, Dancing body, Diuta and Kamigatauta

The main object of this research is to identify and classify lyrics from the point of view of whether it is used for dance in DIUTA(classical Shamisen song) of 600 songs, by using text-mining techniques. Even some of analysis results were confusing, they were generally
clustered into dance music and non-dance music groups. Furthermore, the lyrics of the "Kamigata-mai" schools was clearly identified to each other.

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