TITLE:
Analysis of the Impressions before and after Appreciation of Japanese, Chinese and Korean Traditional Dance Based on Text Mining
AUTHORS:
Hongjie Zheng, Shogo Komatsu, Koichiro Aoki, Chieko Kato
KEYWORDS:
Traditional Dance, Questionnaire Survey, Text Mining, Word Clouds, KH Coder
JOURNAL NAME:
Psychology,
Vol.11 No.6,
June
4,
2020
ABSTRACT: It is great significance from the perspective of different cultural exchanges to grasp the psychological impact of literature, art, and dance in various countries and to clarify their common points and differences. Therefore, this study takes the traditional performing arts and dances of Japan, China, and South Korea as the research object to explore the psychological changes brought by these performing arts and dances. To analyze the psychological changes before and after appreciation in the free description part of the questionnaire, we use the free software Word Clouds and KH coder to conduct a quantitative analysis of the text. Based on the word appearance frequency, the analysis combines a variety of analysis methods such as word cloud, co-occurrence network, self-organization map. By confirming the original data and explaining the visualization results, this paper expounds on the relationship between the characteristics of performing arts and dances in different countries and the psychological influence of audiences.