{"title":"Using TXM Platform of Corpus Analysis for Text Analysis of Social Media","authors":"A. I. Fokina, A. A. Chepovskiy, A. M. Chepovskiy","doi":"10.25205/1818-7900-2023-21-2-29-38","DOIUrl":null,"url":null,"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.","PeriodicalId":31947,"journal":{"name":"Vestnik Novosibirskogo Gosudarstvennogo Universiteta Seria Social''noEkonomiceskie Nauki","volume":"23 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Vestnik Novosibirskogo Gosudarstvennogo Universiteta Seria Social''noEkonomiceskie Nauki","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.25205/1818-7900-2023-21-2-29-38","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
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.
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