Emotional reactions to real-world events in social networks

Thin Nguyen, Dinh Phung, Brett Adams, Svetha Venkatesh

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

2 Citations (Scopus)


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.

Original languageEnglish
Title of host publicationNew Frontiers in Applied Data Mining - PAKDD 2011 International Workshops, Revised Selected Papers
Number of pages12
Publication statusPublished - 7 Mar 2012
Externally publishedYes
EventPacific-Asia Conference on Knowledge Discovery and Data Mining 2011 - Shenzhen, China
Duration: 24 May 201127 May 2011
Conference number: 15th
https://link.springer.com/book/10.1007/978-3-642-20841-6 (Proceedings)

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7104 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


ConferencePacific-Asia Conference on Knowledge Discovery and Data Mining 2011
Abbreviated titlePAKDD 2011
Internet address


  • bursty event
  • Emotional reaction
  • sentiment burst
  • sentiment index

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