Assessing Suicide Risk and Emotional Distress in Chinese Social Media: A Text Mining and Machine Learning Study.

Journal: Journal of medical Internet research
Published Date: Jul 10, 2017

Abstract

BACKGROUND: Early identification and intervention are imperative for suicide prevention. However, at-risk people often neither seek help nor take professional assessment. A tool to automatically assess their risk levels in natural settings can increase the opportunity for early intervention.

Authors

  • Qijin Cheng
    HKJC Center for Suicide Research and Prevention, The University of Hong Kong, Hong Kong, China (Hong Kong).
  • Tim Mh Li
    Department of Paediatrics & Adolescent Medicine, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong, China (Hong Kong).
  • Chi-Leung Kwok
    HKJC Center for Suicide Research and Prevention, The University of Hong Kong, Hong Kong, China (Hong Kong).
  • Tingshao Zhu
    CAS Key Laboratory of Behavioral Science, Institute of Psychology, Chinese Academy of Sciences, Beijing, China.
  • Paul Sf Yip
    HKJC Center for Suicide Research and Prevention, The University of Hong Kong, Hong Kong, China (Hong Kong).

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