Artificial Intelligence and Decision Making
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Artificial Intelligence and Decision Making, 2016, Issue 1, Pages 9–17 (Mi iipr272)  
Natural language processing

Identification of thematic orientation of natural language texts

A. S. Mikhailova, T. V. Sokolovab, A. A. Chepovskiib, A. M. Chepovskiib

a National University of Science and Technology «MISIS», Moscow
b HSE University, Moscow
Full-text PDF (468 kB)
Abstract: This paper presents a novel method of text categorization based on the use of specialized dictionaries. The method is applied to texts of mass media and short comments on the Internet. The analysis indicates the effectiveness and efficiency of word stemming for text categorization problem and the validityof the proposed method.
Keywords: automatic text categorization, specialized dictionary.
Bibliographic databases:
Document Type: Article
Language: Russian
Citation: A. S. Mikhailov, T. V. Sokolova, A. A. Chepovskii, A. M. Chepovskii, “Identification of thematic orientation of natural language texts”, Artificial Intelligence and Decision Making, 2016, no. 1, 9–17
Citation in format AMSBIB
\Bibitem{MikSokChe16}
\by A.~S.~Mikhailov, T.~V.~Sokolova, A.~A.~Chepovskii, A.~M.~Chepovskii
\paper Identification of thematic orientation of natural language texts
\jour Artificial Intelligence and Decision Making
\yr 2016
\issue 1
\pages 9--17
\mathnet{http://mi.mathnet.ru/iipr272}
\elib{https://elibrary.ru/item.asp?id=25904276}
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