ANALYSIS OF DATA PRE-PROCESSING METHODS FOR SENTIMENT ANALYSIS OF REVIEWS
dc.authorid | Ozel, Selma Ayse/0000-0001-9201-6349 | |
dc.contributor.author | Parlar, Tuba | |
dc.contributor.author | Ozel, Selma Ayse | |
dc.contributor.author | Song, Fei | |
dc.date.accessioned | 2024-09-18T20:15:02Z | |
dc.date.available | 2024-09-18T20:15:02Z | |
dc.date.issued | 2019 | |
dc.department | Hatay Mustafa Kemal Üniversitesi | en_US |
dc.description.abstract | The goals of this study are to analyze the effects of data pre-processing methods for sentiment analysis and determine which of these pre-processing methods (and their combinations) are effective for English as well as for an agglutinative language like Turkish. We also try to answer the research question of whether there are any differences between agglutinative and non-agglutinative languages in terms of pre-processing methods for sentiment analysis. We find that the performance results for the English reviews are generally higher than those for the Turkish reviews due to the differences between the two languages in terms of vocabularies, writing styles, and agglutinative property of the Turkish language. | en_US |
dc.description.sponsorship | Cukurova University Academic Research Project Unit [FDK-2015-3833]; Scientific and Technological Research Council of Turkey [TUBITAK 2214-A] | en_US |
dc.description.sponsorship | The research presented in this paper was supported by Cukurova University Academic Research Project Unit (under Grant No. FDK-2015-3833) and the Scientific and Technological Research Council of Turkey (Scholarship TUBITAK 2214-A). | en_US |
dc.identifier.doi | 10.7494/csci.2019.20.1.3097 | |
dc.identifier.endpage | 141 | en_US |
dc.identifier.issn | 1508-2806 | |
dc.identifier.issn | 2300-7036 | |
dc.identifier.issue | 1 | en_US |
dc.identifier.scopus | 2-s2.0-85064051612 | en_US |
dc.identifier.scopusquality | Q3 | en_US |
dc.identifier.startpage | 123 | en_US |
dc.identifier.uri | https://doi.org/10.7494/csci.2019.20.1.3097 | |
dc.identifier.uri | https://hdl.handle.net/20.500.12483/9394 | |
dc.identifier.volume | 20 | en_US |
dc.identifier.wos | WOS:000471746900006 | en_US |
dc.identifier.wosquality | N/A | en_US |
dc.indekslendigikaynak | Web of Science | en_US |
dc.indekslendigikaynak | Scopus | en_US |
dc.language.iso | en | en_US |
dc.publisher | Agh Univ Science & Technology Press | en_US |
dc.relation.ispartof | Computer Science-Agh | en_US |
dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
dc.rights | info:eu-repo/semantics/openAccess | en_US |
dc.subject | data pre-processing | en_US |
dc.subject | feature selection | en_US |
dc.subject | sentiment analysis | en_US |
dc.subject | text classification | en_US |
dc.title | ANALYSIS OF DATA PRE-PROCESSING METHODS FOR SENTIMENT ANALYSIS OF REVIEWS | en_US |
dc.type | Article | en_US |
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