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2010
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Scalable discovery of contradictions on the web

11 years 6 months ago
Scalable discovery of contradictions on the web
Our study addresses the problem of large-scale contradiction detection and management, from data extracted from the Web. We describe the first systematic solution to the problem, based on a novel statistical measure for contradictions, which exploits first- and second-order moments of sentiments. Our approach enables the interactive analysis and online identification of contradictions under multiple levels of time granularity. The proposed algorithm can be used to analyze and track opinion evolution over time and to identify interesting trends and patterns. It uses an incrementally updatable data structure to achieve computational efficiency and scalability. Experiments with real datasets show promising time performance and accuracy. Categories and Subject Descriptors H.3.3 [Information Storage and Retrieval]: Information Search and Retrieval General Terms Algorithms, Performance
Mikalai Tsytsarau, Themis Palpanas, Kerstin Deneck
Added 14 May 2010
Updated 14 May 2010
Type Conference
Year 2010
Where WWW
Authors Mikalai Tsytsarau, Themis Palpanas, Kerstin Denecke
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