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dc.contributor.authorAltabbaa, Mhd Tahssin
dc.contributor.authorAyabakan, Tarik
dc.contributor.authorÖğrenci, Arif Selçuk
dc.date.accessioned2019-06-28T11:11:32Z
dc.date.available2019-06-28T11:11:32Z
dc.date.issued2018
dc.identifier.isbn9781538618868
dc.identifier.urihttps://hdl.handle.net/20.500.12469/1616
dc.identifier.urihttps://doi.org/10.1109/ICECDS.2017.8389573
dc.description.abstractMost of manufacturers and merchants sell their products via internet websites where customers buy them and write their reviews regarding the purchased product. These reviews carry a lot of information. Prospective customers are heavily interested in the experience of the predecessor customers where enormous number of reviews are offered by the website per product. In this study given a dataset of reviews we give a solution to estimate a total score of sentiment for the product reviewed. For this purpose fuzzy logic is used to process the subjective comments and to obtain a reliable average estimation for the decision from those individual reviews. The method is executed over different models to search the effects of the frequency of features on the outcome. © 2017 IEEE.en_US]
dc.language.isoengen_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectFuzzy inferenceen_US
dc.subjectProduct reviewsen_US
dc.subjectSentimenten_US
dc.titleFuzzy logic for decision extraction from product reviewsen_US
dc.typeconferenceObjecten_US
dc.identifier.startpage82en_US
dc.identifier.endpage85
dc.relation.journal2017 International Conference on Energy, Communication, Data Analytics and Soft Computing (ICECDS)en_US
dc.departmentFakülteler, Mühendislik ve Doğa Bilimleri Fakültesi, Elektrik-Elektronik Mühendisliği Bölümüen_US
dc.identifier.doi10.1109/ICECDS.2017.8389573en_US
dc.identifier.scopus2-s2.0-85050127048en_US
dc.institutionauthorAltabbaa, Mhd Tahssinen_US
dc.institutionauthorAyabakan, Tariken_US
dc.institutionauthorÖğrenci, Arif Selçuken_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US


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