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JOURNALS // Artificial Intelligence and Decision Making // Archive

Artificial Intelligence and Decision Making, 2022 Issue 1, Pages 35–44 (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

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.

DOI: 10.14357/20718594220104


 English version:
, 2023, 50:5, 414–421

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© Steklov Math. Inst. of RAS, 2024