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KMID : 1152720220090010009
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Journal of Korean Academy of Mental Health in Occupational Therapy
2022 Volume.9 No. 1 p.9 ~ p.16
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Research Trends Analysis of Schizophrenia, Psychosocial Therapy Using Text Mining
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Park Ji-Hyun
Lee Hye-Sun
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Abstract
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Objective : This study was to provide scientific implications by examining the trends of domestic studies on Schizophrenia, Psychosocial therapy
Methods : To this end, 50 research articles were collected and analyzed with text mining and social network analysis techniques using the R program. The following outcomes were derived from this study.
Results : First, The collected data was analyzed for key words and visualized in a with word cloud. Second, as a result of frequency analysis, such key words as, Schizophrenia, research, patients, programs. Effectiveness. Society. Mental, skills showed high frequency. Third, as a result of LDA topic modeling, it was categorized into five subject words such as the subjects, psychosocial intervention, and intervention effects. Fourth, as a result of analyzing social networks, we derive keywords for degree of connection, proximity-centeredness, andmedium-centricity
Conclusion : In conclusion, this study examine the trends of Schizophrenia, psychosocial therapy-related studies utilizing text mining and social network analysis techniques, and visually presents the findings.
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KEYWORD
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Schizophrenia, Psychosocial therapy, Text Mining, Social Network Analysis, Topic Modeling, Research Trends
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