인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
DBpia AI
AI 에이전트
AI 아이디어
AI 리더
AI 뷰어
Citeasy
크롬 서지관리 다운로드
지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
초록·키워드
User-generated contents are so important and prominent sources that enable marketers to gain information about consumers or having insights of what consumers think or feel. In marketing, the information gained from such online reviews are useful data in terms of establishing customer management and management strategies. However, past research on unstructured data analysis such as user-generated content(UGC) has been lacking, especially in health sector.
Therefore, in this study, we extracted the latent factors for satisfaction of medical service from hospital online review data using LDA(latent dirichlet allocation), which is a kind of topic modeling. The online reviews used in this research were collected from Dianping(dianping.com) from China.
According to the result of the LDA, 10 factors related to the satisfaction of medical service were extracted, and these factors were found to be different according to demographic characteristics. Also, through the perceptual map of medical service satisfaction grade and extracted factors, we were able to conclude important factors in the satisfaction of medical service.
These results can be utilized as basic data for efficient operation at hospitals and establishment of management strategies to provide high quality medical services in the future.
Therefore, in this study, we extracted the latent factors for satisfaction of medical service from hospital online review data using LDA(latent dirichlet allocation), which is a kind of topic modeling. The online reviews used in this research were collected from Dianping(dianping.com) from China.
According to the result of the LDA, 10 factors related to the satisfaction of medical service were extracted, and these factors were found to be different according to demographic characteristics. Also, through the perceptual map of medical service satisfaction grade and extracted factors, we were able to conclude important factors in the satisfaction of medical service.
These results can be utilized as basic data for efficient operation at hospitals and establishment of management strategies to provide high quality medical services in the future.
본문·목차
인공지능 문자 인식 모델을 통해 추출된 텍스트로, 일부 오타나 오류가 포함될 수 있으나 지속적으로 개선 중입니다.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
최근 본 자료 전체보기
UCI(KEPA) : I410-ECN-0101-2018-324-001663076
