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This study aims to identify the main research areas of yoga and examine the trends in yoga research using text mining. This study collected data using the keyword "yoga" through the Research Information Sharing Service (RISS), run by the Korea Education and Research Information Service (KERIS). This study analyzed data listed on RISS over a total period of 10 years, from January 1, 2013, to December 31, 2022. Accordingly, this study extracted the titles and abstracts of 739 articles from RISS, where big data is accumulated, and obtained research results using Textom and UCINET 6 programs that facilitate text mining techniques. First, the results of the word frequency search yielded words such as "program", "exercise"," meditation", "body", and "women". Second, the results of the TF-IDF analysis presented "program", "exercise"," meditation", "elderly", "women", and "body" in sequence. Third, the results of the N-GRAM network graph analysis showed that the connections between "program/development," "body/mind," "psychology/happiness," "exercise/program," and stress/response" have high strengths in that order. Fourth, the results of the CONCOR analysis revealed that four clusters were formed, which were named and categorized into themes of "harmony between body and mind," "yoga education," "aging and health," and "women and health."This study emphasized the implications for broadening the academic scope in the field of yoga research.
Yejin Lee (2024) studied this question.