A intellectual system of analysis of reactions to news based on data from Telegram channels

Authors

DOI:

https://doi.org/10.17721/1812-5409.2022/3.7

Keywords:

natural language processing, sentiment analysis, naive Bayes classifiers, social media, Telegram messenger

Abstract

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

References

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Published

2022-12-09

How to Cite

Nakonechnyi, O. G., Kapustian, O. A., Shevchuk, I. M., Loseva, M. V., & Kosukha, O. Y. (2022). A intellectual system of analysis of reactions to news based on data from Telegram channels. Bulletin of Taras Shevchenko National University of Kyiv. Physical and Mathematical Sciences, (3), 55–61. https://doi.org/10.17721/1812-5409.2022/3.7

Issue

No. 3 (2022)

Section

Computer Science and Informatics

License

Copyright (c) 2022 O. G. Nakonechnyi, O. A. Kapustian, Iu. M. Shevchuk, M. V. Loseva, O. Yu. Kosukha

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