Cognitive systems, artificial neural networks and differential equations: Social media data

The paper presents the results of research on the development of methods and approaches for constructing mathematical and neural network models for analyzing the social media users' perception based on their digital footprints. The research material was social media data. To optimize the analysis, several parallel models were used. The results were obtained using the semantic neural network model; in parallel, statistical analysis of the experimental data was performed, and dynamic models of processes were built. The analysis of the solutions from all models showed that all solutions were consistent. Types of models used for the data analysis are: a neural network-based model, statistical analysis and differential equations. © 2021 Elsevier B.V.. All rights reserved.

Authors
Gabdrakhmanova N. 1 , Pilgun M.2
Conference proceedings
Publisher
Elsevier B.V.
Language
English
Pages
677-684
Status
Published
Volume
186
Year
2021
Organizations
  • 1 Peoples Friendship University of Russia (RUDN University), Mikluho-Maklay 6, Moscow, 117198, Russian Federation
  • 2 Institute of Linguistics, Russian Academy of Sciences, Russian Federation
Keywords
artificial neural networks; Cognitivesystems; differential equations; social media data
Date of creation
16.12.2021
Date of change
16.12.2021
Short link
https://repository.rudn.ru/en/records/article/record/76310/
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