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STATISTICAL AND PROBABILISTIC MODELING OF THE PROCESS OF GENERATION OF EMOTIONS IN ACADEMIC DISCOURSE

The article presents the results of the study aimed at the development of a statistical probability model of generation of emotions in academic discourse, which is understood here as speech interaction in the process of knowledge transition, acquisition, and exchange. The model is based on the informational theory of emotions by P. V. Simonov. The modifica-tion of Simonov’s formula enabled the authors to obtain a mathematical model demonstrating adequate results at all possible values of the components. The model obtained is promising not only for diagnostics of academic discourse emotiogenicity and prediction of speech be-havior of the main academic discourse participants, but also for evaluation of productivity of academic communication and for searching the ways to increase its efficiency.