A review of literature on the use of machine learning methods for opinion mining

Basit Öğe Kaydı
dc.contributor.authorOnan, Aytug
dc.contributor.authorKorukoglu, Serdar
dc.date.accessioned2019-10-27T22:58:43Z
dc.date.available2019-10-27T22:58:43Z
dc.date.issued2016
dc.departmentEge Üniversitesien_US
dc.description.abstractOpinion mining is an emerging field which uses methods of natural language processing, text mining and computational linguistics to extract subjective information of opinion holders. Opinion mining can be viewed as a classification problem. Hence, machine learning based methods are widely employed for sentiment classification. Machine learning based methods in opinion mining can be mainly classified as supervised, semi-supervised and unsupervised methods. In this study, main existing literature on the use of machine learning methods for opinion mining has been presented. Besides, the weak and strong characteristics of machine learning methods have been discussed.en_US
dc.identifier.doi10.5505/pajes.2015.90018
dc.identifier.endpage122en_US
dc.identifier.issn1300-7009
dc.identifier.issn2147-5881
dc.identifier.issue2en_US
dc.identifier.startpage111en_US
dc.identifier.urihttps://doi.org/10.5505/pajes.2015.90018
dc.identifier.urihttps://hdl.handle.net/11454/51626
dc.identifier.volume22en_US
dc.identifier.wosWOS:000443161500006en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.language.isotren_US
dc.publisherPamukkale Univen_US
dc.relation.ispartofPamukkale University Journal of Engineering Sciences-Pamukkale Universitesi Muhendislik Bilimleri Dergisien_US
dc.relation.publicationcategoryMakale - Ulusal Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectOpinion miningen_US
dc.subjectMachine learningen_US
dc.subjectSentiment analysisen_US
dc.titleA review of literature on the use of machine learning methods for opinion miningen_US
dc.typeReview Articleen_US

Dosyalar

Koleksiyon

WoS İndeksli Yayınlar Koleksiyonu