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基于特征规则的在线医疗社区用户评论观点挖掘与情感分析方法
引用本文:向菲,谢耀谈.基于特征规则的在线医疗社区用户评论观点挖掘与情感分析方法[J].医学信息学杂志,2018,39(11):9-14.
作者姓名:向菲  谢耀谈
作者单位:华中科技大学同济医学院医药卫生管理学院 武汉 430030,华中科技大学同济医学院医药卫生管理学院 武汉 430030
摘    要:针对医院评价领域缺少大规模观点-情感语料库的情况,阐述国内外在线医疗社区知识共享以及基于特征的观点挖掘与分析研究现状,采用特征规则方法,基于补充情感词典,对在线医疗社区中用户关于医院的就医评价内容进行观点挖掘与情感分析并开展实证分析,结果显示该方法具有较好的挖掘效果。

关 键 词:在线医疗社区  用户评论  观点挖掘  情感分析
收稿时间:2018/10/18 0:00:00

Method for Opinion Mining and Sentiment Analysis of User Comments of Online Medical Community Based on Characteristic Rules
XIANG Fei and XIE Yaotan.Method for Opinion Mining and Sentiment Analysis of User Comments of Online Medical Community Based on Characteristic Rules[J].Journal of Medical Informatics,2018,39(11):9-14.
Authors:XIANG Fei and XIE Yaotan
Institution:School of Medicine and Health Management, Tongji Medical College, HUST, Wuhan 430030, China and School of Medicine and Health Management, Tongji Medical College, HUST, Wuhan 430030, China
Abstract:In the case of the lack of large-scale opinion-sentiment corpus in the hospital comment area, the paper expounds on the current study situation of the sharing of domestic and overseas medical community knowledge and the opinion mining and sentiment analysis based on characteristics. Using the characteristic rule method, it implements opinion mining and sentiment analysis of the comments on seeking medical advice in hospitals made by users of online medical community on the basis of supplementing the sentiment lexicon and carries out empirical analysis. Results show that mining effect of the method is good.
Keywords:online medical community  user comments  opinion mining  sentiment analysis
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