Pro-russian propaganda recognition and analytics system based on text classification model and statistical data processing methods
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Дата
2023
Науковий керівник
Назва журналу
Номер ISSN
Назва тому
Видавець
КПІ ім. Ігоря Сікорського
Анотація
In this paper a neural network model for classifying the political polarity of text has been developed, along with a database for training the neural network and an analytics system for pro-Russian propaganda. This allows to classify the political polarity of the message source based on its identifier, as well as to construct and display different networks that represent useful insights about popular Twitter hashtags or Telegram channels that related to Russo Ukrainian War. Also, a user interface has been developed that allows users to interact with the system. Developed system will help people with navigation through the information space and avoidance of pro-Russian propaganda.
Опис
Ключові слова
neural networks, text classification, text transformers, news, propaganda, hashtags, networks, Telegram, Twitter
Бібліографічний опис
Pro-russian propaganda recognition and analytics system based on text classification model and statistical data processing methods / Y. Bezliudnyi, V. Shymkovych, P. Kravets, A. Novatsky, L. Shymkovych // Адаптивні системи автоматичного управління : міжвідомчий науково-технічний збірник. – 2023. – № 1 (42). – С. 15-31. – Бібліогр.: 13 назв.