A intellectual system of analysis of reactions to news based on data from Telegram channels
Keywords:natural language processing, sentiment analysis, naive Bayes classifiers, social media, Telegram messenger
This paper describes the system of intellectual analysis and prediction of reactions to the news based on data from Telegram channels In particular, the features of collecting and pre-processing datasets for the intelligence systems, 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 We show the work of this system in the example of the Ukrainian news Telegram channel The results are estimations of probability of emojis for the news from the testing dataset Also, we give F-measures for our approaches to precise input data and models.
Pages of the article in the issue: 55 - 61
Language of the article: Ukrainian
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Copyright (c) 2022 O. G. Nakonechnyi, O. A. Kapustian, Iu. M. Shevchuk, M. V. Loseva, O. Yu. Kosukha
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