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.
KeywordsEmotional reaction sentiment index sentiment burst bursty event
Unable to display preview. Download preview PDF.
- 2.Bradley, M., Lang, P.: Affective norms for English words (ANEW): Instruction manual and affective ratings. University of Florida (1999)Google Scholar
- 4.Coontz, R.: Blogs: Happiness barometers? Science 325, 5941 (2009)Google Scholar
- 5.Finkel, J., Grenager, T., Manning, C.: Incorporating non-local information into information extraction systems by Gibbs sampling. In: Proc. of the Association for Computational Linguistics Conference, p. 370 (2005)Google Scholar
- 6.Gilbert, E., Karahalios, K.: Widespread worry and the stock market. In: Procs. of the Int. AAAI Conf. on Weblogs and Social Media, ICWSM (2010)Google Scholar
- 13.Tumasjan, A., Sprenger, T., Sandner, P., Welpe, I.: Predicting elections with Twitter: What 140 characters reveal about political sentiment. In: Procs. of the Int. AAAI Conference on Weblogs and Social Media, ICWSM (2010)Google Scholar