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Alternative TitleDepression and anxiety prediction on microblogs
白朔天1; 郝碧波1; 李昂1; 聂栋1; 朱廷劭2
Source Publication中国科学院大学学报
Contribution Rank2
Other AbstractAs generally accepted in clinical psychology,mental health status can be expressed by behavior,including web behavior.Conventional mental health assessment is performed by self-report inventory,and it requires much manual efforts and cannot be done in real time.We aim to objectively predict user's mental health status,especially depression and anxiety.We confirmed the correlation between personality and mental health status in the conventional theory by examining a set of behavior data on sina microblog environment.Multi-task regression is proposed to predict online user's mental health status.The results indicate that mental health disorders are expressed by specific online behaviors and it is possible to predict user's degree of depression and anxiety through his/her microblog usage.
Keyword抑郁 焦虑 新浪微博
Subject Area网络心理学
Indexed By其他
Document Type期刊论文
Corresponding Author朱廷劭
Corresponding Author AffilicationInstitute of Psychology, Chinese Academy of Sciences
Recommended Citation
GB/T 7714
白朔天,郝碧波,李昂,等. 微博用户的抑郁和焦虑预测[J]. 中国科学院大学学报,2014,31(6):814-820.
APA 白朔天,郝碧波,李昂,聂栋,&朱廷劭.(2014).微博用户的抑郁和焦虑预测.中国科学院大学学报,31(6),814-820.
MLA 白朔天,et al."微博用户的抑郁和焦虑预测".中国科学院大学学报 31.6(2014):814-820.
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