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.
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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 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.
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