Event extraction using behaviors of sentiment signals and burst structure in social media

Thin Nguyen, Dinh Phung, Brett Adams, Svetha Venkatesh

Research output: Contribution to journalArticleResearchpeer-review

23 Citations (Scopus)

Abstract

Significant world events often cause the behavioral convergence of the expression of shared sentiment. This paper examines the use of the blogosphere as a framework to study user psychological behaviors, using their sentiment responses as a form of 'sensor' to infer real-world events of importance automatically. We formulate a novel temporal sentiment index function using quantitative measure of the valence value of bearing words in blog posts in which the set of affective bearing words is inspired from psychological research in emotion structure. The annual local minimum and maximum of the proposed sentiment signal function are utilized to extract significant events of the year and corresponding blog posts are further analyzed using topic modeling tools to understand their content. The paper then examines the correlation of topics discovered in relation to world news events reported by the mainstream news service provider, Cable News Network, and by using the Google search engine. Next, aiming at understanding sentiment at a finer granularity over time, we propose a stochastic burst detection model, extended from the work of Kleinberg, to work incrementally with stream data. The proposed model is then used to extract sentimental bursts occurring within a specific mood label (for example, a burst of observing 'shocked'). The blog posts at those time indices are analyzed to extract topics, and these are compared to real-world news events. Our comprehensive set of experiments conducted on a large-scale set of 12 million posts from Livejournal shows that the proposed sentiment index function coincides well with significant world events while bursts in sentiment allow us to locate finer-grain external world events.

Original languageEnglish
Pages (from-to)279-304
Number of pages26
JournalKnowledge and Information Systems
Volume37
Issue number2
DOIs
Publication statusPublished - Nov 2013
Externally publishedYes

Keywords

  • Bursty event
  • Emotional reaction
  • Sentiment burst
  • Sentiment index

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