Latent sentiment topic modelling and nonparametric discovery of online mental health-related communities Dao, Bo, Nguyen, Thin, Venkatesh, Svetha and Phung, Quoc-Dinh 2017, Latent sentiment topic modelling and nonparametric discovery of online mental health-related communities, International journal of data science and analytics, vol. 4, no. 3, pp. 209-231, doi: 10.1007/s41060-017-0073-y. Attached Files Name Description MIMEType Size Downloads Title Latent sentiment topic modelling and nonparametric discovery of online mental health-related communities Author(s) Dao, Bo Nguyen, Thin orcid.org/0000-0003-3467-8963 Venkatesh, Svetha orcid.org/0000-0001-8675-6631 Phung, Quoc-Dinh orcid.org/0000-0002-9977-8247 Journal name International journal of data science and analytics Volume number 4 Issue number 3 Start page 209 End page 231 Total pages 23 Publisher Springer Place of publication Cham, Switzerland Publication date 2017-11 ISSN 2364-415X 2364-4168 Keyword(s) nonparametric discovery latent topics mood and emotions mental health online communities Language eng DOI 10.1007/s41060-017-0073-y HERDC Research category C1 Refereed article in a scholarly journal ERA Research output type C Journal article Copyright notice ©2017, Springer International Publishing AG Persistent URL http://hdl.handle.net/10536/DRO/DU:30106135 Document type: Journal Article Collection: School of Information Technology Related Links Link Description Connect to published version Go to link with your DU access privileges   Connect to Elements publication management system Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Versions Version Filter Type Mon, 05 Feb 2018, 20:43:34 EST Mon, 05 Feb 2018, 20:44:06 EST Tue, 06 Feb 2018, 04:01:34 EST Wed, 28 Mar 2018, 05:03:06 EST Thu, 29 Mar 2018, 08:12:45 EST Thu, 29 Mar 2018, 08:14:47 EST Filtered Full Citation counts:   Cited 0 times in TR Web of Science Cited 0 times in Scopus Search Google Scholar Access Statistics: 11 Abstract Views, 2 File Downloads  -  Detailed Statistics Created: Mon, 05 Feb 2018, 20:44:06 EST

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