Artificial Bee Colony-Based Feature Selection Algorithm for Cyberbullying

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dc.authoridSarac, Esra/0000-0002-2503-0084
dc.contributor.authorEssiz, Esra Sarac
dc.contributor.authorOturakci, Murat
dc.date.accessioned2025-01-06T17:37:19Z
dc.date.available2025-01-06T17:37:19Z
dc.date.issued2021
dc.description.abstractAs a nature-inspired algorithm, artificial bee colony (ABC) is an optimization algorithm that is inspired by the search behaviour of honey bees. The main aim of this study is to examine the effects of the ABC-based feature selection algorithm on classification performance for cyberbullying, which has become a significant worldwide social issue in recent years. With this purpose, the classification performance of the proposed ABC-based feature selection method is compared with three different traditional methods such as information gain, ReliefF and chi square. Experimental results present that ABC-based feature selection method outperforms than three traditional methods for the detection of cyberbullying. The Macro averaged F_measure of the data set is increased from 0.659 to 0.8 using proposed ABC-based feature selection method.
dc.description.sponsorshipAdana Alparslan Turkes Science and Technology University Scientific Research Project Unit [17103023]
dc.description.sponsorshipAdana Alparslan Turkes Science and Technology University Scientific Research Project Unit (17103023).
dc.identifier.doi10.1093/comjnl/bxaa066
dc.identifier.endpage313
dc.identifier.issn0010-4620
dc.identifier.issn1460-2067
dc.identifier.issue3
dc.identifier.scopus2-s2.0-85105426932
dc.identifier.scopusqualityQ2
dc.identifier.startpage305
dc.identifier.urihttps://doi.org/10.1093/comjnl/bxaa066
dc.identifier.urihttps://hdl.handle.net/20.500.14669/2193
dc.identifier.volume64
dc.identifier.wosWOS:000644547300004
dc.identifier.wosqualityQ3
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherOxford Univ Press
dc.relation.ispartofComputer Journal
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_20241211
dc.subjectcyberbullying
dc.subjectartificial bee colony
dc.subjectfeature selection
dc.subjectclassification
dc.titleArtificial Bee Colony-Based Feature Selection Algorithm for Cyberbullying
dc.typeArticle

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