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Artificial Intelligence and Decision Making
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Artificial Intelligence and Decision Making, 2022, Issue 1, Pages 35–44
DOI: https://doi.org/10.14357/20718594220104 (Mi iipr56) 		 
Analysis of textual and graphical information

Identification of linguistic indicators of network socio-political discourse using text mining

O. G. Grigoriev, A. A. Chuganskaya, M. A. Stankevich

Federal Research Center "Computer Science and Control" of Russian Academy of Sciences, Moscow, Russia
Full-text PDF (548 kB)
DOI: https://doi.org/10.14357/20718594220104
Abstract: The paper studies the socio-political discourse using methods of intellectual analysis of texts in social and political psychology. A methodology for applying tools in socio-political research is proposed. The most significant psycholinguistic indicators for comments on political and non-political Russian-language YouTube channels have been identified and analyzed.
Keywords: text mining, linguistic markers, social group, political psychology, socio-political discourse, YouTube.
Funding agency Grant number
Russian Foundation for Basic Research 21-011-31638
English version:
Scientific and Technical Information Processing, 2023, Volume 50, Issue 5, Pages 414–421
DOI: https://doi.org/10.3103/S0147688223050076
Bibliographic databases:
Document Type: Article
Language: Russian
Citation: O. G. Grigoriev, A. A. Chuganskaya, M. A. Stankevich, “Identification of linguistic indicators of network socio-political discourse using text mining”, Artificial Intelligence and Decision Making, 2022, no. 1, 35–44; Scientific and Technical Information Processing, 50:5 (2023), 414–421
Citation in format AMSBIB
\Bibitem{GriChuSta22}
\by O.~G.~Grigoriev, A.~A.~Chuganskaya, M.~A.~Stankevich
\paper Identification of linguistic indicators of network socio-political discourse using text mining
\jour Artificial Intelligence and Decision Making
\yr 2022
\issue 1
\pages 35--44
\mathnet{http://mi.mathnet.ru/iipr56}
\crossref{https://doi.org/10.14357/20718594220104}
\elib{https://elibrary.ru/item.asp?id=48140572}
\transl
\jour Scientific and Technical Information Processing
\yr 2023
\vol 50
\issue 5
\pages 414--421
\crossref{https://doi.org/10.3103/S0147688223050076}
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