Emotional reactions to real-world events in social networks
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 fro...
| Main Authors: | , , , |
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| Other Authors: | |
| Format: | Conference Paper |
| Published: |
Springer-Verlag
2012
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| Online Access: | http://hdl.handle.net/20.500.11937/10396 |
| _version_ | 1848746221019070464 |
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| author | Nguyen, Thin Phung, Dinh Adams, Brett Venkatesh, Svetha |
| author2 | Cao, L. |
| author_facet | Cao, L. Nguyen, Thin Phung, Dinh Adams, Brett Venkatesh, Svetha |
| author_sort | Nguyen, Thin |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | 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. |
| first_indexed | 2025-11-14T06:29:48Z |
| format | Conference Paper |
| id | curtin-20.500.11937-10396 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T06:29:48Z |
| publishDate | 2012 |
| publisher | Springer-Verlag |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-103962023-02-02T07:57:37Z Emotional reactions to real-world events in social networks Nguyen, Thin Phung, Dinh Adams, Brett Venkatesh, Svetha Cao, L. Huang, J.Z. Bailey, J. Koh, Y.S. Luo, J. 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. 2012 Conference Paper http://hdl.handle.net/20.500.11937/10396 10.1007/978-3-642-28320-8_5 Springer-Verlag restricted |
| spellingShingle | Nguyen, Thin Phung, Dinh Adams, Brett Venkatesh, Svetha Emotional reactions to real-world events in social networks |
| title | Emotional reactions to real-world events in social networks |
| title_full | Emotional reactions to real-world events in social networks |
| title_fullStr | Emotional reactions to real-world events in social networks |
| title_full_unstemmed | Emotional reactions to real-world events in social networks |
| title_short | Emotional reactions to real-world events in social networks |
| title_sort | emotional reactions to real-world events in social networks |
| url | http://hdl.handle.net/20.500.11937/10396 |