A real-world text classification application for an e-commerce platform

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dc.authorscopusid57215290754
dc.authorscopusid57215291607
dc.authorscopusid57215295392
dc.authorscopusid56952927700
dc.contributor.authorYıldırım, Fatih Mehmet
dc.contributor.authorKaya, Abdullah
dc.contributor.authorÖztürk, Selin Nur
dc.contributor.authorKılınç, Deniz
dc.date.accessioned2022-02-15T16:59:00Z
dc.date.available2022-02-15T16:59:00Z
dc.date.issued2019
dc.departmentBakırçay Üniversitesien_US
dc.descriptionInnovations in Intelligent Systems and Applications Conference (ASYU) -- OCT 31-NOV 02, 2019 -- Izmir, TURKEYen_US
dc.description.abstractThis study aims to reflect the real-world utilities of machine learning applications by implementing a set of different text classification algorithms in terms of accuracy and performance. We developed a system capable of executing various text classification algorithms and generated models trained on real product catalog data collected from morhipo.com, an online fashion commerce platform. The highest mean accuracy rate was obtained as 96.08% (ranging between 85.44% and 99.99%) with a standard deviation value of 5.65% by Linear Support Vector Classifier (LinearSVC) algorithm.en_US
dc.description.sponsorshipYasar Univ, IEEE Turkey Sect, Yildiz Teknik Univ, Idea, Siemensen_US
dc.identifier.endpage385en_US
dc.identifier.isbn978-1-7281-2868-9
dc.identifier.scopus2-s2.0-85078340433en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.startpage381en_US
dc.identifier.urihttps://hdl.handle.net/20.500.14034/500
dc.identifier.urihttps://doi.org/10.1109/ASYU48272.2019.8946337
dc.identifier.wosWOS:000631252400071en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.relation.journal2019 Innovations In Intelligent Systems And Applications Conference (Asyu)en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjecttext classificationen_US
dc.subjecttext miningen_US
dc.subjectfeature extraction with machine learningen_US
dc.titleA real-world text classification application for an e-commerce platformen_US
dc.typeConference Objecten_US

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