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dc.contributor.authorDönmez, İlknuren_US
dc.contributor.authorAslan, Zaferen_US
dc.date.accessioned2021-07-09T13:04:48Z
dc.date.available2021-07-09T13:04:48Z
dc.date.issued2021en_US
dc.identifier.citationDonmez, I., & Aslan, Z. (2021). Document Sentiment classification using hybrid wavelet methodologies. JOURNAL OF THE FACULTY OF ENGINEERING AND ARCHITECTURE OF GAZI UNIVERSITY, 36(2), 701-714.en_US
dc.identifier.issn1300-1884
dc.identifier.issn1304-4915
dc.identifier.urihttps://doi.org/10.17341/gazimmfd.701313
dc.identifier.urihttps://hdl.handle.net/20.500.12294/2773
dc.description.abstractSentiment and semantic analysis of a text are very important issues of today because of increasing text data. Our study proposes a new method to reveal the hypernym relations (generic term) of the words in the text and to enhance the accuracy results of sentiment classification of the texts. We used wavelet transform method that has been rarely used in text analysis. In our study, the aim is to show how this method contributes the sentiment analysis classification problem. We used classical algorithms and hybrit wavelet algorithm for sentiment analysis problem. It has been observed that when wavelets are applied to classical classification algorithms, the accuracies increased approximately 5%.en_US
dc.language.isoengen_US
dc.publisherGazi Universityen_US
dc.relation.ispartofJournal of the Faculty of Engineering And Architecture of Gazi Universityen_US
dc.identifier.doi10.17341/gazimmfd.701313en_US
dc.identifier.doi10.17341/gazimmfd.701313
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectWaveleten_US
dc.subjectSentiment Analysisen_US
dc.subjectText Miningen_US
dc.subjectText Visualizationen_US
dc.subjectHaar Transformationen_US
dc.titleDocument Sentiment Classification Using Hybrid Wavelet Methodologiesen_US
dc.typearticleen_US
dc.departmentMühendislik ve Mimarlık Fakültesi, Bilgisayar Mühendisliği Bölümüen_US
dc.identifier.volume36en_US
dc.identifier.issue2en_US
dc.identifier.startpage701en_US
dc.identifier.endpage714en_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US


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