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http://dx.doi.org/10.14400/JDC.2021.19.11.517

Counseling Outcomes Research Trend Analysis Using Topic Modeling - Focus on 「Korean Journal of Counseling」  

Park, Kwi Hwa (Department of Medical Education, Gachon University College of Medicine)
Lee, Eun Young (Ulsan Nam-Gu Counseling and Welfare Center for Youth)
Yune, So Jung (Department of Medical Education, Pusan National University School of Medicine)
Publication Information
Journal of Digital Convergence / v.19, no.11, 2021 , pp. 517-523 More about this Journal
Abstract
The outcome of the consultation is important to both the counselor and the researcher. Analyzing the trends of research on the results of counseling that have been carried out so far will help to comprehensively structure the results of consultations. The purpose of this research is to analyze research trends in Korea, focusing on research related to the outcomes of counseling published in 「Korean Journal of Counseling」 from 2011 to 2021, which is one of the well-known academic journals in the field of counseling in Korea. This is to explore the direction of future research by navigating the knowledge structure of research. There were 197 studies used for analysis, and the final 339 keyword were extracted during the node extraction process and used for analysis. As a result of extracting potential topics using the LDA algorithm, "Measurement and evaluation of counseling outcomes", "emotions and mediate factors affecting interpersonal relationships", and "career stress and coping strategies" are the main topics. Identifying major topics through trend analysis of counseling performance research contributed to structuring counseling performance. In-depth research on these topics needs to continue thereafter.
Keywords
Counseling Performance; Research Trend Analysis; Text Mining; Topic Modeling; LDA;
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