Research application of the spam filtering algorithm on social media

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dc.contributor.authorOliinyk, V.
dc.date.accessioned2022-02-10T12:20:23Z
dc.date.available2022-02-10T12:20:23Z
dc.date.issued2021
dc.descriptionOliinyk V. Research application of the spam filtering algorithm on social media / V. Oliinyk ; sci. advisors A. Podorozhniak, N. Liubchenko // Black Sea Science 2021. Information Technology, Automation and Robotics : рroc. of the Intern. Competition of Student Scientific Works / Odessa Nat. Acad. of Food Technologies ; eds. B. Yegorov, M. Mardar, S. Kotlyk [et al.]. – Odessa : ONAFT, 2021. – P. 264-274 : fig. – Ref.: 15 tit.ru_RU
dc.description.abstractToday there are a lot of different social networks and messengers, which in today's society, especially in times of pandemic corona-virus have become an integral part of our daily lives, including work activities. At the same time there is a lot of unnecessary information coming to users every second, so the problem of dealing with spam messages in social networks and messengers is now very relevant. By spam we mean any messages that a person, or an entire company, considers unnecessary in a particular text stream. The project is devoted to solving the scientific and applied problem of detecting spam messages in the text context of any social network or messenger using various spam detection algorithms. Three algorithms were implemented and investigated: an algorithm using naive Bayesian classifier, Support-vector machine and multilayer perceptron neural network. The main idea is to develop a spam detection algorithm that is fast and easy to integrate in a messenger (social network). It is proposed to use the obtained solutions for IT companies. The developed algorithm should recognize spam based on the context of a particular firm and quickly remove or mark it. Since the spam detection task is essentially the task of sorting messages into A and B classes, the developed algorithm can be used not only for spam filtering but also, for example, for monitoring chat rooms for the messages that are important to a particular employee of the company.ru_RU
dc.identifier.urihttps://card-file.ontu.edu.ua/handle/123456789/19654
dc.language.isoen_USru_RU
dc.subjectspamru_RU
dc.subjectsocial networkru_RU
dc.subjectnaive Bayesian classifierru_RU
dc.subjectSupport-vector machineru_RU
dc.subjectmultilayer perceptron neural networkru_RU
dc.titleResearch application of the spam filtering algorithm on social mediaru_RU
dc.typeArticleru_RU
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