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Extending a sentiment lexicon with synonym-antonym datasets: SWNetTR plus

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dc.contributor.author Sağlam, Fatih
dc.contributor.author Genç, Burkay
dc.contributor.author Sever, Hayri
dc.date.accessioned 2020-03-09T13:12:02Z
dc.date.available 2020-03-09T13:12:02Z
dc.date.issued 2019
dc.identifier.citation Saglam, Fatih; Genc, Burkay; Sever, Hayri, "Extending a sentiment lexicon with synonym-antonym datasets: SWNetTR plus", Turkish Journal of Electrical Engineering and Computer Sciences, Vol. 27, No. 3, pp. 1806-1820, (2019). tr_TR
dc.identifier.issn 1300-0632
dc.identifier.uri http://hdl.handle.net/20.500.12416/2623
dc.description.abstract In our previous studies on developing a general-purpose Turkish sentiment lexicon, we constructed SWNetTR-PLUS, a sentiment lexicon of 37K words. In this paper, we show how to use Turkish synonym and antonym word pairs to extend SWNetTR-PLUS by almost 33% to obtain SWNetTR++, a Turkish sentiment lexicon of 49K words. The extension was done by transferring the problem into the graph domain, where nodes are words, and edges are synonym- antonym relations between words, and propagating the existing tone and polarity scores to the newly added words using an algorithm we have developed. We tested the existing and new lexicons using a manually labeled Turkish news media corpus of 500 news texts. The results show that our method yielded a significantly more accurate lexicon than SWNetTR-PLUS, resulting in an accuracy increase from 72.2% to 80.4%. At this level, we have now maximized the accuracy rates of translation-based sentiment analysis approaches, which first translate a Turkish text to English and then do the analysis using English sentiment lexicons. tr_TR
dc.language.iso eng tr_TR
dc.publisher Tubitak Scientific & Technical Research Council Turkey tr_TR
dc.relation.isversionof 10.3906/elk-1809-120 tr_TR
dc.rights info:eu-repo/semantics/closedAccess tr_TR
dc.subject Turkish Sentiment Lexicon tr_TR
dc.subject Sentiment Analysis tr_TR
dc.subject Sentiment Lexicon tr_TR
dc.subject Graph Model tr_TR
dc.subject GDELT tr_TR
dc.subject Swnettr Plus tr_TR
dc.title Extending a sentiment lexicon with synonym-antonym datasets: SWNetTR plus tr_TR
dc.type article tr_TR
dc.relation.journal Turkish Journal of Electrical Engineering and Computer Sciences tr_TR
dc.contributor.authorID 11916 tr_TR
dc.identifier.volume 27 tr_TR
dc.identifier.issue 3 tr_TR
dc.identifier.startpage 1806 tr_TR
dc.identifier.endpage 1820 tr_TR
dc.contributor.department Çankaya Üniversitesi, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümü tr_TR


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