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
The purpose of this study is to provide the basic data for policy development related to the advancement of women's Taekwondo by analyzing public perceptions and areas of interest using big data analysis techniques. For this purpose, keyword search volume analysis, text mining, and CONCOR analysis were conducted. First, the keyword search volume analysis results showed the highest search volume in July 2021, which coincides with the timing of the Taekwondo events at the 2020 Tokyo Olympic Games. It is presumed that public interest in women's Taekwondo increased due to the Taekwondo competitions and the achievements of female athletes during the Olympic Games. Second, as a result of keyword frequency and TF-IDF analysis,"training" showed the highest frequency. This suggests a high level of interest in women’s Taekwondo training programs. Third, the N-gram analysis revealed the co-occurrence of keywords related to adult women’s Taekwondo training and female Taekwondo instructors. This can be interpreted as reflecting the growing demand for specialized training programs for adult women and for female Taekwondo instructors. Fourth, the CONCOR analysis grouped the data into clusters related to training purposes/effects, Taekwondo club information, competition information, and Olympic issues. Through this, it was possible to identify the public's interest in topics such as the purpose and effects of Taekwondo training, Taekwondo club information, Olympic-related issues in relation to women's Taekwondo.
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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UCI(KEPA) : I410-151-25-02-092113775
