Development of a mathematical model for the processes of researching citizen appeals
https://doi.org/10.55648/1998-6920-2026-20-1-39-56
Abstract
Currently, citizens actively participate in public discussions that affect the life of society. With the development of digitalization, users are increasingly using social networks and feedback platforms (FBPs) to express their opinions on various areas of activity. In this regard, there is a need to analyze public sentiment using modern analytical tools in order to identify
potential problems at an early stage. This article describes the development of a mathematical model for analyzing public sentiment based on text messages published on social networks and other sources. The model includes data preprocessing, clustering of requests, naming of clusters using language models, and summarization of identified problems.
Keywords
About the Authors
Elena Nikolaevna VanchikovaRussian Federation
Dr of Economics, Professor of the Department of Management
Alexander Nikolaevich Timofeev
Russian Federation
General Director
Nima Batodorzhievich Saduev
Russian Federation
PhD, Associate Professor of the Department of Informatics and Information Technologies in Economics
Elena Ochirovna Vanzatova
Russian Federation
Candidate of Economics, Associate Professor of the Department of Informatics and Information
Technologies in Economics
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Review
For citations:
Vanchikova E.N., Timofeev A.N., Saduev N.B., Vanzatova E.O. Development of a mathematical model for the processes of researching citizen appeals. The Herald of the Siberian State University of Telecommunications and Information Science. 2026;20(1):39-56. (In Russ.) https://doi.org/10.55648/1998-6920-2026-20-1-39-56
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