This paper is in the following e-collection/theme issue:

Methods and New Tools in Mental Health Research (463) Linguistics, Comprehension, and Learning (53)

Published on in Vol 2, No 2 (2015): April-June

Identifying Chinese Microblog Users With High Suicide Probability Using Internet-Based Profile and Linguistic Features: Classification Model

Identifying Chinese Microblog Users With High Suicide Probability Using Internet-Based Profile and Linguistic Features: Classification Model

Identifying Chinese Microblog Users With High Suicide Probability Using Internet-Based Profile and Linguistic Features: Classification Model

Authors of this article:

Li Guan1, 2 Author Orcid Image ;   Bibo Hao2 Author Orcid Image ;   Qijin Cheng3 Author Orcid Image ;   Paul SF Yip3 Author Orcid Image ;   Tingshao Zhu1, 4 Author Orcid Image
Article Authors Cited by (58) Tweetations (4) Metrics

Li Guan   1, 2 , MS ;   Bibo Hao   2 , MS ;   Qijin Cheng   3 , PhD ;   Paul SF Yip   3 , PhD ;   Tingshao Zhu   1, 4 , PhD

1 Key Lab of Behavioral Science of Chinese Academy of Sciences, Institute of Psychology, Chinese Academy of Sciences, Beijing, China

2 University of Chinese Academy of Sciences, Beijing, China

3 HKJC Center for Suicide Research and Prevention, The University of Hong Kong, Hong Kong SAR, China (Hong Kong)

4 Key Lab of Intelligent Information Processing of Chinese Academy of Sciences, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China

Corresponding Author:

  • Tingshao Zhu, PhD
  • Key Lab of Behavioral Science of Chinese Academy of Sciences
  • Institute of Psychology
  • Chinese Academy of Sciences
  • Room 821, Building He-xie, 16th Lincui Road
  • Chaoyang District
  • Beijing, 100101
  • China
  • Phone: 86 15010965509
  • Fax: 86 010 64851661
  • Email: tszhu@psych.ac.cn