Publication:
Detection of Fake and Provokative Comments in Social Network Using Machine Learning

dc.contributor.authorGamova, A. A.
dc.contributor.authorHoroshiy, A. A.
dc.contributor.authorIvanenko, V. G.
dc.contributor.authorИваненко, Виталий Григорьевич
dc.date.accessioned2024-11-25T18:03:49Z
dc.date.available2024-11-25T18:03:49Z
dc.date.issued2020
dc.description.abstract© 2020 IEEE.Nowadays internet-trolls have big impact on other users, it interferes with comfortable use. Objective of the project is creating model for identifying provocative and fake comments. Science articles about detection of trolls by hand were searched for making the criteria of relevant comments selection. To achieve the goal there were created two artificial neural networks: definition of sarcasm and definition of sentiment analysis. The program result is datasets of troll comments and fake comments, statistic and diagrams of definition.
dc.format.extentС. 309-311
dc.identifier.citationGamova, A. A. Detection of Fake and Provokative Comments in Social Network Using Machine Learning / Gamova, A.A., Horoshiy, A.A., Ivanenko, V.G. // Proceedings of the 2020 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering, EIConRus 2020. - 2020. - P. 309-311. - 10.1109/EIConRus49466.2020.9039423
dc.identifier.doi10.1109/EIConRus49466.2020.9039423
dc.identifier.urihttps://www.doi.org/10.1109/EIConRus49466.2020.9039423
dc.identifier.urihttps://www.scopus.com/record/display.uri?eid=2-s2.0-85082992081&origin=resultslist
dc.identifier.urihttps://openrepository.mephi.ru/handle/123456789/20574
dc.relation.ispartofProceedings of the 2020 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering, EIConRus 2020
dc.titleDetection of Fake and Provokative Comments in Social Network Using Machine Learning
dc.typeConference Paper
dspace.entity.typePublication
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