[논문]Latent Dirichlet Allocation 토픽모델링을 이용한 한방 의료 서비스 분석에 관한 연구 : 의료 소비자의 온라인 리뷰를 중심으로

손채연; 송연우; 이승호

doi:10.25153/spkom.2022.26.1.004

Latent Dirichlet Allocation 토픽모델링을 이용한 한방 의료 서비스 분석에 관한 연구 : 의료 소비자의 온라인 리뷰를 중심으로
A Study on the Analysis of Korean Medical Services using Latent Dirichlet Allocation Topic Modeling : Focusing on online reviews by medical consumers 원문보기

대한예방한의학회지 = Journal of Society of Preventive Korean Medicine, v.26 no.1, 2022년, pp.43 - 57

손채연 (우석대학교 한의과대학) , 송연우 (우석대학교 한의과대학) , 이승호 (우석대학교 한의과대학 병리학교실)

Abstract ▼ AI-Helper

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.

주제어

표/그림 (11)

그림 Fig. 1. Research Process
그림 Fig. 2. Graphical model representation of Latent Dirichlet Allocation
그림 Fig. 3. The number of reviews by year
그림 Fig. 4. The number of reviews by rating
표 Table 1. Characteristics of the sample
그림 Fig. 5. Coherence score by the number of topics(Left) & Perplexity score by the number of topics(Right)
그림 Fig. 6. Intertopic Distance Map and Top-30 most salient terms for all reviews
그림 Fig. 7. Wordcloud for all reviews
그림 Fig 8. Trends in major topics by year
표 Table 2. Results of review analysis by year
표 Table 3. Results of review analysis by rating

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