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

TitleAssessing Suicide Risk and Emotional Distress in Chinese Social Media: A Text Mining and Machine Learning Study
Authors
KeywordsChinese
Machine learning
Natural language
Psychological stress
Social media
Suicide
Issue Date2017
PublisherJournal of Medical Internet Research. The Journal's web site is located at http://www.jmir.org/
Citation
Journal of Medical Internet Research, 2017, v. 19, p. e243 How to Cite?
Persistent Identifierhttp://hdl.handle.net/10722/247676
ISSN
2019 Impact Factor: 5.034
2015 SCImago Journal Rankings: 1.648
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorCheng, Q-
dc.contributor.authorLi, TMH-
dc.contributor.authorKwok, CL-
dc.contributor.authorZhu, T-
dc.contributor.authorYip, PSF-
dc.date.accessioned2017-10-18T08:30:52Z-
dc.date.available2017-10-18T08:30:52Z-
dc.date.issued2017-
dc.identifier.citationJournal of Medical Internet Research, 2017, v. 19, p. e243-
dc.identifier.issn1438-8871-
dc.identifier.urihttp://hdl.handle.net/10722/247676-
dc.languageeng-
dc.publisherJournal of Medical Internet Research. The Journal's web site is located at http://www.jmir.org/-
dc.relation.ispartofJournal of Medical Internet Research-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.subjectChinese-
dc.subjectMachine learning-
dc.subjectNatural language-
dc.subjectPsychological stress-
dc.subjectSocial media-
dc.subjectSuicide-
dc.titleAssessing Suicide Risk and Emotional Distress in Chinese Social Media: A Text Mining and Machine Learning Study-
dc.typeArticle-
dc.identifier.emailCheng, Q: chengqj@connect.hku.hk-
dc.identifier.emailKwok, CL: raykcl@hku.hk-
dc.identifier.emailYip, PSF: sfpyip@hku.hk-
dc.identifier.authorityCheng, Q=rp02018-
dc.identifier.authorityYip, PSF=rp00596-
dc.description.naturepublished_or_final_version-
dc.identifier.doi10.2196/jmir.7276-
dc.identifier.scopuseid_2-s2.0-85026446386-
dc.identifier.hkuros280198-
dc.identifier.volume19-
dc.identifier.spagee243-
dc.identifier.epagee243-
dc.identifier.isiWOS:000409228500001-
dc.publisher.placeCanada-
dc.identifier.issnl1438-8871-

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