Publication: Polarity detection of Turkish comments on technology companies
| dc.contributor.authors | Isguder-Sahin G.G., Zafer H.R., Adah E. | |
| dc.date.accessioned | 2022-03-15T02:10:16Z | |
| dc.date.accessioned | 2026-01-10T19:11:13Z | |
| dc.date.available | 2022-03-15T02:10:16Z | |
| dc.date.issued | 2014 | |
| dc.description.abstract | In this study, comments about technology brands are collected from a popular Turkish website, eksisözlük, and classified as positive or negative. Turkish text is preprocessed with different kinds of filters and then modeled with 1-gram, 2-grams and 3-grams language models. Naive Bayes (NB), Support Vector Machines (SVM) and K nearest neighbor (KNN) classifiers are applied on different configurations of preprocessing techniques, language models and linguistic attributes for comparison. We measured best F-measure as 0,696 on our test dataset. © 2014 IEEE. | |
| dc.identifier.doi | 10.1109/IALP.2014.6973514 | |
| dc.identifier.isbn | 9781479953301 | |
| dc.identifier.uri | https://hdl.handle.net/11424/247455 | |
| dc.language.iso | eng | |
| dc.publisher | Institute of Electrical and Electronics Engineers Inc. | |
| dc.relation.ispartof | Proceedings of the International Conference on Asian Language Processing 2014, IALP 2014 | |
| dc.rights | info:eu-repo/semantics/closedAccess | |
| dc.subject | polarity detection | |
| dc.subject | Preprocessing | |
| dc.subject | sentiment analysis | |
| dc.subject | Turkish | |
| dc.title | Polarity detection of Turkish comments on technology companies | |
| dc.type | conferenceObject | |
| dspace.entity.type | Publication | |
| oaire.citation.endPage | 139 | |
| oaire.citation.startPage | 136 | |
| oaire.citation.title | Proceedings of the International Conference on Asian Language Processing 2014, IALP 2014 |