• O. Yu. Kosukha Faculty of Computer Science and Cybernetics, Taras Shevchenko National University of Kyiv, Kyiv, Ukraine
  • Iu. M. Shevchuk Faculty of Computer Science and Cybernetics, Taras Shevchenko National University of Kyiv, Kyiv, Ukraine
Keywords: natural language processing, sentiment analysis, naive Bayes classifiers, social media, Telegram messenger


This research paper provides a description of the system of intellectual analysis and prediction of reactions to news based on data from Telegram channels. In particular, the features of collecting and pre-processing datasets for the system, the methodology of thematic analysis of the received data, and the model used to obtain predictions of reactions to Telegram messages depending on their text are described.


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