DOI QR코드

DOI QR Code

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

  • 손채연 (우석대학교 한의과대학) ;
  • 송연우 (우석대학교 한의과대학) ;
  • 이승호 (우석대학교 한의과대학 병리학교실)
  • Son, Chaeyeon (College of Korean Medicine, Woosuk University) ;
  • Song, Yeonwoo (College of Korean Medicine, Woosuk University) ;
  • Lee, Seungho (Department of Pathology, College of Korean Medicine, Woosuk University)
  • 투고 : 2022.03.21
  • 심사 : 2022.04.23
  • 발행 : 2022.04.30

초록

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.

키워드

과제정보

본 연구는 정부(과학기술정보통신부)의 재원으로 한국연구재단의 지원을 받아 수행된 연구임(No. 2020R1G1A1100725).

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