Purpose/Significance The review texts of online mental health services are analyzed to identify patients'preferences for online mental health services and put forward countermeasures and suggestions.Method/Process Taking Yidianling platform as an exam-ple,the content analysis method is used to form a medical preference index set.The latent Dirichlet allocation(LDA)model is used to determine the preferred topic.Logistic regression classification and sentiment analysis are used to identify topics of text comments and cal-culate online sentiment scores of each topic.Finally,the interpretative phenomenological analysis(IPA)method is used to identify the subject weight of patients'preferences in choosing doctors and put forward suggestions for improvement.Result/Conclusion The forma-tion of patients'preferences in choosing doctors for online mental health services is divided into 3 dimensions and 9 sub-themes,which can provide important guidance and references for improving the quality and satisfaction of online mental health services.
关键词
在线心理健康服务/择医偏好/在线评论/隐含狄利克雷分布模型/情感分析
Key words
online mental health services/preferences in choosing doctors/online reviews/latent Dirichlet allocation(LDA)mod-el/sentiment analysis
维普
万方数据