Identification of Linguistic Indicators of Network Sociopolitical Discourse Using Text Mining

被引：0
|
作者：
Grigoriev, O. G. [1 ]
Chuganskaya, A. A. [1 ]
Stankevich, M. A. [1 ]
机构：
[1] Russian Acad Sci, Fed Res Ctr Comp Sci & Control, Moscow, Russia
来源：
SCIENTIFIC AND TECHNICAL INFORMATION PROCESSING | 2023年 / 50卷 / 05期
基金：
俄罗斯基础研究基金会;
关键词：
intelligent text analysis; linguistic markers; social group; political psychology; sociopolitical discourse; YouTube;
D O I：
10.3103/S0147688223050076
中图分类号：
G25 [图书馆学、图书馆事业]; G35 [情报学、情报工作];
学科分类号：
1205 ; 120501 ;
摘要：
This article examines sociopolitical discourse using a method of the intelligent analysis of texts on social and political psychology. A methodology for applying the tool in sociopolitical research is proposed. The most significant psycholinguistic indicators for comments on political and nonpolitical Russian YouTube channels are determined and analyzed.
引用
收藏
页码：414 / 421
页数：8
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