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APPLYING THE CONVERSATION ANALYSIS METHOD TO ASSESS COMMUNITY ACTIVITY AND SENTIMENT
Author(s) -
Igor Rytsarev,
Alexander Kupriyanov,
V.G. Litvinov
Publication year - 2020
Publication title -
izvestiâ samarskogo naučnogo centra rossijskoj akademii nauk
Language(s) - English
Resource type - Journals
ISSN - 1990-5378
DOI - 10.37313/1990-5378-2020-22-6-87-91
Subject(s) - sentiment analysis , conversation , thematic analysis , social media , computer science , social network analysis , thematic map , conversation analysis , data science , sociology , natural language processing , world wide web , social science , geography , qualitative research , communication , cartography
In this paper, it is proposed to use the method of conversion analysis to analyze the activity and sentiment of communities. The research data was collected from social media. The proven technology for analyzing the activity of network groups on electoral topics was used in practice. The results show that in active groups, there is a strong relationship between news and thematic comments associated with it.

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