A sentiment-aware approach to community formation in social media Nguyen, Thin, Phung, Dinh, Adams, Brett and Venkatesh, Svetha 2012, A sentiment-aware approach to community formation in social media, in ICWSM 2012 : Proceedings of the Sixth International Conference on Weblogs and Social Media, Association for the Advancement of Artificial Intelligence (AAAI), [Dublin, Ireland], pp. 527-530. Attached Files Name Description MIMEType Size Downloads Title A sentiment-aware approach to community formation in social media Author(s) Nguyen, Thin orcid.org/0000-0003-3467-8963 Phung, Dinh orcid.org/0000-0002-9977-8247 Adams, Brett Venkatesh, Svetha orcid.org/0000-0001-8675-6631 Conference name Weblogs and Social Media. International Conference ( 6th : 2012 : Dublin, Ireland) Conference location Dublin, Ireland Conference dates 4-7 Jun. 2012 Title of proceedings ICWSM 2012 : Proceedings of the Sixth International Conference on Weblogs and Social Media Editor(s) [Unknown] Publication date 2012 Conference series International Conference on Weblogs and Social Media Start page 527 End page 530 Total pages 4 Publisher Association for the Advancement of Artificial Intelligence (AAAI) Place of publication [Dublin, Ireland] Summary Participating in a community exemplifies the aspect of sharing, networking and interacting in a social media system. There has been extensive work on characterising on-line communities by their contents and tags using topic modelling tools. However, the role of sentiment and mood has not been studied. Arguably, mood is an integral feature of a text, and becomes more significant in the context of social media: two communities might discuss precisely the same topics, yet within an entirely different atmosphere. Such sentiment-related distinctions are important for many kinds of analysis and applications, such as community recommendation. We present a novel approach to identification of latent hyper-groups in social communities based on users’ sentiment. The results show that a sentiment-based approach can yield useful insights into community formation and metacommunities, having potential applications in, for example, mental health—by targeting support or surveillance to communities with negative mood—or in marketing—by targeting customer communities having the same sentiment on similar topics. Language eng Field of Research 080305 Multimedia Programming Socio Economic Objective 899999 Information and Communication Services not elsewhere classified HERDC Research category E1 Full written paper - refereed Persistent URL http://hdl.handle.net/10536/DRO/DU:30052647 Document type: Conference Paper Collections: Faculty of Science, Engineering and Built Environment Centre for Pattern Recognition and Data Analytics (PRADA)   Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Versions Version Filter Type Fri, 24 May 2013, 12:11:08 EST Fri, 24 May 2013, 14:26:17 EST Fri, 24 May 2013, 15:15:33 EST Fri, 24 May 2013, 15:16:51 EST Mon, 27 May 2013, 08:42:04 EST Mon, 27 May 2013, 13:35:54 EST Mon, 27 May 2013, 14:01:39 EST Fri, 08 Aug 2014, 13:15:53 EST Wed, 21 Oct 2015, 14:47:15 EST Filtered Full Citation counts:   Cited 0 times in TR Web of Science Cited 14 times in Scopus Search Google Scholar Access Statistics: 656 Abstract Views, 3 File Downloads  -  Detailed Statistics Created: Fri, 24 May 2013, 12:11:08 EST

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