Emotional reactions to real-world events in social networks
Contribuinte(s) |
[Unknown] |
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Data(s) |
01/01/2011
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Resumo |
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.<br /> |
Identificador | |
Idioma(s) |
eng |
Publicador |
Springer |
Relação |
http://dro.deakin.edu.au/eserv/DU:30044917/nguyen-emotionalreactions-2011.pdf http://dx.doi.org/10.1007/978-3-642-28320-8_5 http://pakdd2011.pakdd.org/ |
Direitos |
2012, Springer-Verlag Berlin Heidelberg |
Palavras-Chave | #emotional reaction #sentiment index #sentiment burst #bursty event |
Tipo |
Conference Paper |