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dc.contributor.authorDehkharghani, Rahim
dc.contributor.authorYanıkoğlu, Berrin
dc.contributor.authorTapucu, Dilek
dc.contributor.authorSaygın, Yücel
dc.date.accessioned2017-03-23T07:45:42Z
dc.date.available2017-03-23T07:45:42Z
dc.date.issued2012
dc.identifier.citationDehkharghani, R., Yanıkoğlu, B., Tapucu, D., and Saygın, Y. (2012, December 10). Adaptation and use of subjectivity lexicons for domain dependent sentiment classification. Paper presented at the 12th IEEE International Conference on Data Mining Workshops, ICDMW 2012. doi:10.1109/ICDMW.2012.121en_US
dc.identifier.isbn9780769549255
dc.identifier.urihttp://doi.org/10.1109/ICDMW.2012.121
dc.identifier.urihttp://hdl.handle.net/11147/5128
dc.description12th IEEE International Conference on Data Mining Workshops, ICDMW 2012; Brussels; Belgium; 10 December 2012en_US
dc.description.abstractSentiment analysis refers to the automatic extraction of sentiments from a natural language text. We study the effect of subjectivity-based features on sentiment classification on two lexicons and also propose new subjectivity-based features for sentiment classification. The subjectivity-based features we experiment with are based on the average word polarity and the new features that we propose are based on the occurrence of subjective words in review texts. Experimental results on hotel and movie reviews show an overall accuracy of about 84% and 71% in hotel and movie review domains respectively; improving the baseline using just the average word polarities by about 2% points. © 2012 IEEE.en_US
dc.language.isoengen_US
dc.publisherIEEEen_US
dc.relation.isversionof10.1109/ICDMW.2012.121en_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectLexicon based methodsen_US
dc.subjectMachine learningen_US
dc.subjectOpinion miningen_US
dc.subjectPolarity extractionen_US
dc.subjectSentiment analysisen_US
dc.titleAdaptation and use of subjectivity lexicons for domain dependent sentiment classificationen_US
dc.typeconferenceObjecten_US
dc.contributor.institutionauthorTapucu, Dilek
dc.relation.journal12th IEEE International Conference on Data Mining Workshops, ICDMW 2012en_US
dc.contributor.departmentİYTE, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümüen_US
dc.identifier.startpage669en_US
dc.identifier.endpage673en_US
dc.identifier.wosWOS:000320946500088
dc.identifier.scopusSCOPUS:2-s2.0-84873130582
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US


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