Performance Analysis of Artificial Neural Network Based Classfiers for Cyberbulling Detection

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dc.authoridYildiz, Eren/0000-0002-4631-7834
dc.authoridACI, Cigdem/0000-0002-0028-9890
dc.authoridSarac, Esra/0000-0002-2503-0084
dc.contributor.authorCuruk, Eren
dc.contributor.authorAci, Cigdem
dc.contributor.authorEssiz, Esra Salac
dc.date.accessioned2025-01-06T17:37:18Z
dc.date.available2025-01-06T17:37:18Z
dc.date.issued2018
dc.description3rd International Conference on Computer Science and Engineering (UBMK) -- SEP 20-23, 2018 -- Sarajevo, BOSNIA & HERCEG
dc.description.abstractIn this study, analyzes were performed to detection of cvherhullying by Artificial Neural Network (ANN) based classifiers. In contrast to the general classifiers used in the detection of cyberbullying in the literature, ANN basis classifiers as Support Vector Machines (SVM), Stochastic Gradient Descent (SGD), Radial Basis Function (RBF) and Logistic Regression (LR) classifiers have been tested. The performances of the classifiers mentioned in the study were tested with comments from Formspring.me and Myspace media. N-gram model was used for the qualitative derivation and N = 1 was chosen because we wanted to measure the overall performance of the classifiers, also stop-words have been removed from features. In these studies, the F-measure value was taken over than 0.90. Given the accuracy and time performance of the classifiers, it has been observed that the most appropriate classifier for cyherhullying detection is the SGD classifier.
dc.description.sponsorshipBMBB,Istanbul Teknik Univ,Gazi Univ,ATILIM Univ,Int Univ Sarajevo,Kocaeli Univ,TURKiYE BiLiSiM VAKFI
dc.identifier.endpage5
dc.identifier.isbn978-1-5386-7893-0
dc.identifier.startpage1
dc.identifier.urihttps://hdl.handle.net/20.500.14669/2192
dc.identifier.wosWOS:000459847400001
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.language.isotr
dc.publisherIEEE
dc.relation.ispartof2018 3rd International Conference on Computer Science and Engineering (Ubmk)
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_20241211
dc.subjectCyberbullying Classification
dc.subjectText Mining
dc.subjectDVM
dc.subjectRBF
dc.subjectSGD
dc.subjectLogistic Regression
dc.subjectSocial Media
dc.titlePerformance Analysis of Artificial Neural Network Based Classfiers for Cyberbulling Detection
dc.typeConference Object

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