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KMID : 1148220210170020375
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Journal of Arts Psychotherapy
2021 Volume.17 No. 2 p.375 ~ p.402
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A Study on the Research Trends of Expressive Arts Therapy Using Text Mining and Topic Modeling(1999-2020)
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Choi Eun-Jung
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Abstract
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This study is to identify research trends in the field of expressive arts therapy in Korea by analyzing thesis abstracts and bibliographic data published from 1999 to 2020 with text mining and topic modeling. The research methods were R-studio in the 1st stage and Net Miner in the 2nd stage. The results of the study are as follows. From the frequency analysis, the main key words were “self-esteem”, “stress”, “art therapy”, “interpersonal relationships”, and “experimental group”. The core research topics were “self-esteem”, “interpersonal relations” and “self-expression” that ranked high in the analysis of text network. From the topic modeling analysis, “therapeutic properties and effects of expressive arts therapy” had the largest number of papers which is considered as the core topic. Lastly, the tendency of topics over every decade has changed. There were many studies related to disabilities and women in the 1st period, while topics related to “phenomenological study of arts therapy experience” and “digital contents and bibliotherapy as expressive mediums” increased focus on the application of various expressive media and art-based therapeutic experiences in the 2nd period. Conclusively, the scope of research topics in the 2nd period has been subdivided and diversified. The most common topic between both periods was “therapeutic characteristics and effects of expressive arts therapy”. This study derives major research subjects from the past 20 years by applying text mining and topic modeling in expressive arts therapy. This is meaningful because it provides this field with the academic foundation and it grasps the research trends.
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KEYWORD
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Expressive Arts Therapy, Integrative Arts Therapy, Analysis of Research Trends, Text Mining, Topic Modeling
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