Social Tension Detection and Intention Recognition Using Natural Language Semantic Analysis: On the Material of Russian-Speaking Social Networks and Web Forums

Abstract

The paper proposes a method of social tension detection and intention recognition based on natural language analysis of social networks, forums, blogs and news comments. Our approach combines natural language syntax and semantics analysis with statistical processing to identify possible indicators of social tension. The universal components of our method incorporate the general laws of natural language, general psychological, sociological and psycholinguistic rules and trends typical of social tension detection in virtual discussions. Automatic monitoring of the contents of discussions helps to timely unveil hidden signs of tension and makes it possible to predict the likely development of the situation.

DOI: 10.1109/EISIC.2011.27

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Cite this paper

@article{Vybornova2011SocialTD, title={Social Tension Detection and Intention Recognition Using Natural Language Semantic Analysis: On the Material of Russian-Speaking Social Networks and Web Forums}, author={Olga Vybornova and Ivan Smirnov and Ilya Sochenkov and Alexander Kiselyov and Ilya Tikhomirov and Natalya Chudova and Yulia Kuznetsova and Gennady Osipov}, journal={2011 European Intelligence and Security Informatics Conference}, year={2011}, pages={277-281} }