Determining of the user attitudes on mobile security programs with machine learning methods

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dc.authorid0000-0002-1105-9169en_US
dc.authorid0000-0002-9245-5728en_US
dc.authorscopusid57212215900en_US
dc.authorscopusid23388361200en_US
dc.contributor.authorYayla, Rıdvan
dc.contributor.authorBilgin, Turgay Tugay
dc.date.accessioned2022-04-05T06:58:46Z
dc.date.available2022-04-05T06:58:46Z
dc.date.issued2021en_US
dc.departmentBTÜ, Rektörlüğe Bağlı Birimler, Bilgi İşlem Daire Başkanlığıen_US
dc.description.abstractSecurity plays an important role in today's virtual world. Cybersecurity software has been widely used by the development of portable virtual environments. Smartphones occur in an important part of our lives. Daily routines are performed over mobile phones, especially after the COVID-19 pandemic process. Due to its ease of use, compulsory or optional mobile phone use also brought about many security concerns. Mobile security software is used for different purposes such as virus removal and protection of personal information according to user preferences. In the field of natural language processing, user preferences can now be analyzed on the basis of machine learning methods with sentiment analysis. In this paper, the preference reasons for mobile security software have been analysed with machine learning methods based on user comments and sentiment analysis. In the study, all user comments have been classified into 10 main categories and the user preferences of mobile security programs have been analysed.en_US
dc.identifier.doi10.31449/inf.v45i3.3506en_US
dc.identifier.endpage403en_US
dc.identifier.issn03505596
dc.identifier.issue3en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.startpage393en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12885/1865
dc.identifier.volume45en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.institutionauthorYayla, Rıdvan
dc.institutionauthorBilgin, Turgay Tugay
dc.language.isoenen_US
dc.publisherSlovene Society Informatikaen_US
dc.relation.ispartofInformatica (Slovenia)en_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectClassificationen_US
dc.subjectMachine learningen_US
dc.subjectMobile applicationen_US
dc.subjectSecurityen_US
dc.titleDetermining of the user attitudes on mobile security programs with machine learning methodsen_US
dc.typeArticleen_US

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