Pro-russian propaganda recognition and analytics system based on text classification model and statistical data processing methods

dc.contributor.authorBezliudnyi, Y.
dc.contributor.authorShymkovych, V.
dc.contributor.authorKravets, P.
dc.contributor.authorNovatsky, A.
dc.contributor.authorShymkovych, L.
dc.date.accessioned2023-05-16T05:59:00Z
dc.date.available2023-05-16T05:59:00Z
dc.date.issued2023
dc.description.abstractIn 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.uk
dc.format.pagerangePp. 15-31uk
dc.identifier.citationPro-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.uk
dc.identifier.doihttps://doi.org/10.20535/1560-8956.42.2023.278923
dc.identifier.urihttps://ela.kpi.ua/handle/123456789/55707
dc.language.isoenuk
dc.publisherКПІ ім. Ігоря Сікорськогоuk
dc.publisher.placeКиївuk
dc.relation.ispartofАдаптивні системи автоматичного управління : міжвідомчий науково-технічний збірник, 2023, № 1 (42)uk
dc.subjectneural networksuk
dc.subjecttext classificationuk
dc.subjecttext transformersuk
dc.subjectnewsuk
dc.subjectpropagandauk
dc.subjecthashtagsuk
dc.subjectnetworksuk
dc.subjectTelegramuk
dc.subjectTwitteruk
dc.subject.udc004.89, 004.912uk
dc.titlePro-russian propaganda recognition and analytics system based on text classification model and statistical data processing methodsuk
dc.typeArticleuk

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