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

Infodemiology and Infoveillance (1349) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1641) Digital Mental Health Interventions, e-Mental Health and Cyberpsychology (1514) Natural Language Processing (692) Depression and Mood Disorders; Suicide Prevention (1363) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1041) Machine Learning (1465)

Published on in Vol 19, No 7 (2017): July

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

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

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

Authors of this article:

Qijin Cheng1 Author Orcid Image ;   Tim MH Li2 Author Orcid Image ;   Chi-Leung Kwok1 Author Orcid Image ;   Tingshao Zhu3 Author Orcid Image ;   Paul SF Yip1 Author Orcid Image
Article Authors Cited by (146) Tweetations (18) Metrics

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