基于情感分析的抑郁倾向人群在线健康社区参与行为特征研究  

Study on Behavioral Characteristics of Participation in Online Health Community among People Prone to Depression Based on Sentiment Analysis

作　　者：王哲 向菲[1] WANG Zhe;XIANG Fei(School of Medicine and Health Management,Tongji Medical College of Huazhong University of Science and Technology,Wuhan 430030,China)

机构地区：[1]华中科技大学同济医学院医药卫生管理学院,武汉430030

出　　处：《医学信息学杂志》2023年第1期14-19,共6页Journal of Medical Informatics

摘　　要：基于主题挖掘和情感分析方法,分析不同情感倾向用户在线健康社区参与行为特征,提出在线健康社区可以为抑郁症患者提供在线社会支持,为平台开展抑郁情绪管理和干预提供理论依据,为抑郁症防治特色服务提供思路。Based on the topic mining and sentiment analysis methods, the behavioral characteristics of online health community(OHC) participation of users with different emotional tendencies are analyzed, and it is proposed that OHC could provide online social support for patients with depression, so as to provide a theoretical basis for the platform to carry out depressive mood management and intervention, and provide ideas for the characteristic services of depression prevention and treatment.

关 键 词：抑郁倾向 情感分析 隐含狄利克雷分布模型 在线健康社区 

分 类 号：R-058[医药卫生]