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Erschienen in:
2012 | OriginalPaper | Buchkapitel
Emotional Reactions to Real-World Events in Social Networks
verfasst von : Thin Nguyen, Dinh Phung, Brett Adams, Svetha Venkatesh
Erschienen in: New Frontiers in Applied Data Mining
Verlag: Springer Berlin Heidelberg
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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.