인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
DBpia AI
AI 에이전트
AI 아이디어
AI 리더
AI 뷰어
Citeasy
크롬 서지관리 다운로드
지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
초록·키워드
This study aimed to analyze current yoga trends in South Korea by employing a big data-based text mining approach. Using the keyword "yoga instructor training," data were collected from three major domestic and international portal sites (Naver, Daum, Google) between 2021 and 2023. The analysis was conducted using TEXTOM (The IMC, 2024), and word frequency analysis as well as TF-IDF were applied to extract key insights. Additionally, LDA topic modeling was performed to identify and structure the principal themes in yoga trends. The results indicated that “flying,” “wall,” “meditation,” “rehabilitation,” and “correction” emerged as key terms through word frequency and TF-IDF analysis. Furthermore, LDA topic modeling extracted four core topics, which were identified as “Traditional Yoga and Mind-Body Healing,” “Rehabilitation and Anatomy-Based Yoga,” “Customized Professional Yoga,” and “Therapeutic and Rehabilitation Yoga.” Based on these findings, it was confirmed that current yoga education in South Korea predominantly emphasizes physical benefits, suggesting that the philosophical and spiritual values of traditional yoga are not sufficiently reflected in contemporary programs. Therefore, this study highlights the need for future yoga education programs to integrate both physical benefits and mental-spiritual values, ultimately promoting mind-body balance and inner growth.
본문·목차
인공지능 문자 인식 모델을 통해 추출된 텍스트로, 일부 오타나 오류가 포함될 수 있으나 지속적으로 개선 중입니다.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
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