텍스트마이닝을 활용한 국내 체형관리기기 연구 동향 분석 : 시멘틱 네트워크와 CONCOR 분석을 중심으로

다국어 초록 (Multilingual Abstract)

The purpose of this study was to identify the core research trends and topics within the field of body contouring devices by analyzing the frequency and interrelationships among keywords extracted from domestic academic journals and theses. A total of 53 documents were collected from reputable academic content platforms, such as DBpia and RISS, and text mining techniques were employed to extract 1,851 words, which were subsequently refined using preprocessing and duplicate removal, resulting in 40 core keywords. Semantic network analysis was then applied to compute centrality measures,including degree, betweenness, closeness, and eigenvector centrality, revealing that keywords such as ‘abdominal obesity’, ‘radiofrequency’, and ‘reduction effect’ play pivotal roles in this research domain. Moreover, CONCOR analysis grouped the keywords into four distinct clusters corresponding to body composition and obesity, anthropometric measurements, therapeutic interventions, and research outcomes, indicating that studies in this field address not only aesthetic improvement but also clinical efficacy. These findings provide valuable academic and practical insights, suggesting future research directions that integrate objective health indicators with innovative device applications to enhance the overall impact of body shape management solutions.

목차 (Table of Contents)

• Abstract
• I. 서론
• II. 이론적 배경
• 1. 체형관리기기
• 2. 텍스트마이닝(Text Mining)
• III. 연구방법
• 1. 연구과제
• 2. 자료 수집
• 3. 자료 분석
• IV. 연구결과
• 1. 학술지 및 학위논문에 따른 체형관리기기 관련 연구동향
• 2. 빈도 분석
• 3. 시멘틱 네트워크 분석
• 4. CONCOR 분석
• V. 결론
• 참고문헌
• 中文摘要