Abstract:
The article considers problems of theoretical and methodological nature arising in the organization of monitoring of emotional reactions of social networks users by means of automatic text analysis. The difficulties accompanying the monitoring activity at the level of motivation, goal-setting and the choice of a method for determining markers of emotionality are analyzed. The problems of determining the sampling criteria for the study of emotional reactions of users within communities and large groups, taking into account textual and non-textual parameters are studied. Difficulties in interpreting the data of a set of psycholinguistic features based on machine learning and questions about the applicability of the classifier built on the training corpus to texts from different fields are outlined.
Keywords:
monitoring, network communities, emotions, automatic text analysis, linguistic markers, psycholinguistics, activity.
Funding agency
Grant number
National Center for Physics and Mathematics in Sarov
9
Bibliographic databases:
Document Type:
Article
Language: Russian
Citation:
J. M. Kuznetsova, A. A. Chuganskaya, N. Chudova, “Organization of emotional reactions monitoring of social networks users by means of automatic text analysis”, Artificial Intelligence and Decision Making, 2023, no. 2, 64–75
\Bibitem{KuzChuChu23}
\by J.~M.~Kuznetsova, A.~A.~Chuganskaya, N.~Chudova
\paper Organization of emotional reactions monitoring of social networks users by means of automatic text analysis
\jour Artificial Intelligence and Decision Making
\yr 2023
\issue 2
\pages 64--75
\mathnet{http://mi.mathnet.ru/iipr26}
\crossref{https://doi.org/10.14357/20718594230205}
\elib{https://elibrary.ru/item.asp?id=54105809}
Citation in format AMSBIB
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