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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
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.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.hkuros280198-
dc.identifier.volume19-
dc.identifier.spagee243-
dc.identifier.epagee243-
dc.identifier.isiWOS:000409228500001-
dc.publisher.placeCanada-

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