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JOURNALS // Artificial Intelligence and Decision Making // Archive

Artificial Intelligence and Decision Making, 2015 Issue 2, Pages 53–59 (Mi iipr323)

Natural language processing

Method of detection of research directions based on full-text analysis of publications

D. A. Devyatkin, Yu. E. Danik, I. A. Tikhomirov, A. V. Shvets

Institute for Systems Analysis of Russian Academy of Sciences

Abstract: This paper proposes a new method of detection of research directions, as well as a way of automatic tuning of its parameters. The method defines a function of assessment of the similarity of scientific publications that takes into account thematic similarity of texts, cited references and co-authorship. In contrast to other methods for calculation of thematic similarity of texts thesauruses and ontologies are used. That allows taking into account the specifics of the subject areas and identifying multiwordcombinations with syntactic and semantic dependencies that characterizes research directions in a best way.

Keywords: scientometric analysis, support of scientific activity, research directions, clustering of collections of scientific publications.



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