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KMID : 0861120220260010043
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Korean Journal of Oriental Preventive Medicine
2022 Volume.26 No. 1 p.43 ~ p.57
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A Study on the Analysis of Korean Medical Services using Latent Dirichlet Allocation Topic Modeling : Focusing on online reviews by medical consumers
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Son Chae-Yeon
Song Yeon-Woo
Lee Seung-Ho
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Abstract
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Objective : This study aims to understand the consumer’s needs for Korean medicine medical service using online review analysis of medical consumers.
Methods : We analyzed the purpose and satisfaction factors of medical service use using LDA (Latent Dirichlet Allocation) topic modeling. The data used in the study was 120,727 screened reviews written by medical consumers registered on Naver. The analyzed results were compared with the “2020 Korean Medicine Utilization Survey”.
Results : From 2018 to 2021, the five most frequently used terms were “kindness”, “treatment”, “doctor”, “Korean medicine”, and “acupuncture”. The main purpose of visiting Korean medicine medical clinic and hospital was to treat “traffic accidents” in 2018, “waist(back) pain” in 2019, “musculoskeletal pain” in 2020 & 2021. Based on the rating, reviewers were satisfied with “explanation of treatment” and “treatment attitude”, and dissatisfied with “accessibility to the institution”.
Conclusion : We concluded that the main purpose of use of Korean medicine institution was to treat musculoskeletal disorders. Based on the results of this study, it is expected that it will be used to improve Korean medicine medical service in the future.
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KEYWORD
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Korean medicine, Hospital, LDA, Topic modeling, Online Review
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