Using TXM Platform of Corpus Analysis for Text Analysis of Social Media
https://doi.org/10.25205/1818-7900-2023-21-2-29-38
Abstract
When forming graphs of interacting objects built when importing data from social networks and instant messaging networks, text data also act as vertex attributes. In this paper, the authors describe a text research methodology based on corpus analysis procedures. The purpose of this article is to test the methodological tools provided by the TXM software for the comparative analysis of the revealed communities texts on the graph of interacting objects. The method is proposed to assess the quality of the implicit communities revealing on the graph obtained by importing data from the channel network of the Telegram messenger.
About the Authors
A. I. Fokina
HSE University
Russian Federation
Russian Federation
Alina I. Fokina, postgraduate student
Moscow
A. A. Chepovskiy
HSE University
Russian Federation
Russian Federation
Alexander A. Chepovskiy, Ph.D. (mathematics), Associate Professor
Moscow
A. M. Chepovskiy
HSE University; Federal Research Center “Informatics and Management”
Russian Federation
Russian Federation
Andrey M. Chepovskiy, Dr Sc. (Eng)
Moscow
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For citations:
Fokina A.I., Chepovskiy A.A., Chepovskiy A.M. Using TXM Platform of Corpus Analysis for Text Analysis of Social Media. Vestnik NSU. Series: Information Technologies. 2023;21(2):29-38. (In Russ.) https://doi.org/10.25205/1818-7900-2023-21-2-29-38
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