학술논문
Analysis of Laughter Therapy Trend Using Text Network Analysis and Topic Modeling
이용수 22
- 영문명
- Analysis of Laughter Therapy Trend Using Text Network Analysis and Topic Modeling
- 발행기관
- 한국웰빙융합학회
- 저자명
- 이도영
- 간행물 정보
- 『웰빙융합연구』Vol.5 No.4, 33~37쪽, 전체 5쪽
- 주제분류
- 경제경영 > 경제학
- 파일형태
- 발행일자
- 2022.12.31
무료
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국문 초록
영문 초록
Purpose: This study aims to understand the trend and central concept of domestic researches on laughter therapy. For the analysis, this study used total 72 theses verified by inputting the keyword ‘laughter therapy’ from 2007 to 2021. Research design, data and methodology: This study performed the development and analysis of keyword co-occurrence network, analyzed the types of researches through topic modeling, and verified the visualized word cloud and sociogram. The keyword data that was cleaned through preprocessing, was analyzed in the method of centrality analysis and topic modeling through the 1-mode matrix conversion process by using the NetMiner (version 4.4) Program. Results: The keywords that most appeared for last 14 years were laughter therapy, depression, the elderly, and stress. The five topics analyzed in thesis data from 2007 to 2021 were therapy, cognitive behavior, quality of life, stress, and the elderly. Conclusions: This study understood the flow and trend of research topics of domestic laughter therapy for last 14 years, and there should be continuous researches on laughter therapy, which reflects the flow of time in the future.
목차
1. Introduction
2. Study Method
3. Result
4. Conclusions
References
해당간행물 수록 논문
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- Exploring on Research Ethics in Humidifier Disinfectant Case from the Court Judgement
- Analysis of Laughter Therapy Trend Using Text Network Analysis and Topic Modeling
- Housing Policy Capacity and Indonesian Response to the COVID-19 Pandemic
- A Study on the Improvement of Comfortable Living Environment by Using real-time Sensors
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- Journal of Wellbeing Management and Applied Psychology Vol.5 No.4 목차
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