中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Predicting Depression of Social Media User on Different Observation Windows

文献类型:会议论文

作者Hu, Q (Hu, Quan)1; Li, A (Li, Ang)2,3; Heng, F (Heng, Fei)4; Li, JP (Li, Jianpeng)4; Zhu, TS (Zhu, Tingshao)5
出版日期2015
会议日期DEC 06-09, 2015
会议地点Singapore, SINGAPORE
关键词Machine Learning Depression Microblogging Behavior Classification Prediction
卷号1
期号不详
DOI10.1109/WI-IAT.2015.166
页码361-364
英文摘要

Depression has become a public health concern around the world. Traditional methods for detecting depression rely on self-report techniques, which suffer from inefficient data collection and processing. This paper built both classification and regression models based on linguistic and behavioral features acquired from 10,102 social media users, and compared classification and prediction accuracy respectively among models built on different observation windows. Results showed that users' depression can be predicted via social media. The best result appears when we make prediction in advance for half a month with a 2-month length of observation time.

会议录IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT)
语种英语
源URL[http://ir.psych.ac.cn/handle/311026/26555]  
专题心理研究所_社会与工程心理学研究室
作者单位1.Henan Univ, Inst Psychol, Chinese Acad Sci, Sch Comp & Informat Engn, Kaifeng, Peoples R China
2.Beijing Forestry Univ, Dept Psychol, Beijing, Peoples R China
3.Univ New South Wales, Black Dog Inst, Sydney, NSW 2052, Australia
4.Lanzhou Univ, Sch Informat Sci & Engn, Lanzhou 730000, Peoples R China
5.Chinese Acad Sci, Inst Comp Technol, Inst Psychol, Beijing, Peoples R China
推荐引用方式
GB/T 7714
Hu, Q ,Li, A ,Heng, F ,et al. Predicting Depression of Social Media User on Different Observation Windows[C]. 见:. Singapore, SINGAPORE. DEC 06-09, 2015.

入库方式: OAI收割

来源:心理研究所

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