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A probabilistic-entropy approach of finding thematically similar documents with creating context-semantic graph for investigating evolution of society opinion. (January 2016)
Record Type:
Journal Article
Title:
A probabilistic-entropy approach of finding thematically similar documents with creating context-semantic graph for investigating evolution of society opinion. (January 2016)
Main Title:
A probabilistic-entropy approach of finding thematically similar documents with creating context-semantic graph for investigating evolution of society opinion
Abstract: The composite algorithm integrating, on one hand, the algorithm of finding documents on a given topic, and, on the other hand, the method of emotiveness evaluation of topical texts is presented. This method is convenient for analysis of people opinions expressed in social media and, as a result, for automated analysis of event evolutions in social media. Some examples of such analysing are demonstrated and discussed.