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Emotional reactions to real-world events in social networks

conference contribution
posted on 2011-01-01, 00:00 authored by Thin NguyenThin Nguyen, Quoc-Dinh Phung, B Adams, Svetha VenkateshSvetha Venkatesh
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.

History

Event

Pacific-Asia Conference on Knowledge Discovery and Data Mining (15th : 2011 : Shenzhen, China)

Pagination

53 - 64

Publisher

Springer

Location

Shenzhen, China

Place of publication

Heidelberg, Germany

Start date

2011-05-24

End date

2011-05-27

ISSN

0302-9743

ISBN-13

9783642283192

Language

eng

Publication classification

E1.1 Full written paper - refereed

Copyright notice

2012, Springer-Verlag Berlin Heidelberg

Title of proceedings

New Frontiers in Applied Data Mining : Proceedings of the PAKDD 2011 International Workshops

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