Emotional reactions to real-world events in social networks Nguyen, Thin, Phung, Dinh, Adams, Brett and Venkatesh, Svetha 2011, Emotional reactions to real-world events in social networks, in New Frontiers in Applied Data Mining : Proceedings of the PAKDD 2011 International Workshops, Springer, Heidelberg, Germany, pp. 53-64, doi: 10.1007/978-3-642-28320-8_5. Attached Files Name Description MIMEType Size Downloads Title Emotional reactions to real-world events in social networks 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 Pacific-Asia Conference on Knowledge Discovery and Data Mining (15th : 2011 : Shenzhen, China) Conference location Shenzhen, China Conference dates 24-27 May 2011 Title of proceedings New Frontiers in Applied Data Mining : Proceedings of the PAKDD 2011 International Workshops Editor(s) [Unknown] Publication date 2011 Conference series Pacific-Asia Conference on Knowledge Discovery and Data Mining Start page 53 End page 64 Total pages 12 Publisher Springer Place of publication Heidelberg, Germany Keyword(s) emotional reaction sentiment index sentiment burst bursty event Summary A convergence of emotions among people in social networks is potentially resulted by the occurrence of an unprecedented event in real world. E.g., a majority of bloggers would react angrily at the September 11 terrorist attacks. Based on this observation, we introduce a sentiment index, computed from the current mood tags in a collection of blog posts utilizing an affective lexicon, potentially revealing subtle events discussed in the blogosphere. We then develop a method for extracting events based on this index and its distribution. Our second contribution is establishment of a new bursty structure in text streams termed a sentiment burst. We employ a stochastic model to detect bursty periods of moods and the events associated. Our results on a dataset of more than 12 million mood-tagged blog posts over a 4-year period have shown that our sentiment-based bursty events are indeed meaningful, in several ways. ISBN 9783642283192 ISSN 0302-9743 Language eng DOI 10.1007/978-3-642-28320-8_5 Field of Research 089999 Information and Computing Sciences not elsewhere classified Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences HERDC Research category E1.1 Full written paper - refereed Copyright notice ©2012, Springer-Verlag Berlin Heidelberg Persistent URL http://hdl.handle.net/10536/DRO/DU:30044917 Document type: Conference Paper Collection: Centre for Pattern Recognition and Data Analytics Related Links Link Description Connect to published version (restricted access) Go to link with your DU access privileges   Connect to conference webpage 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 Tue, 01 May 2012, 11:06:25 EST Tue, 08 May 2012, 09:24:00 EST Tue, 08 May 2012, 09:26:10 EST Wed, 09 May 2012, 09:29:30 EST Wed, 08 May 2013, 16:12:27 EST Thu, 09 May 2013, 08:30:50 EST Filtered Full Citation counts:   Cited 0 times in TR Web of Science Cited 2 times in Scopus Search Google Scholar Access Statistics: 276 Abstract Views, 5 File Downloads  -  Detailed Statistics Created: Tue, 01 May 2012, 11:06:25 EST

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