Turkish Medical Text Classification Using BERT

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dc.authorscopusid57188575432
dc.authorscopusid36862932600
dc.contributor.authorCelikten, Azer
dc.contributor.authorBulut, Hasan
dc.date.accessioned2023-01-12T20:01:26Z
dc.date.available2023-01-12T20:01:26Z
dc.date.issued2021
dc.departmentN/A/Departmenten_US
dc.description29th IEEE Conference on Signal Processing and Communications Applications (SIU) -- JUN 09-11, 2021 -- ELECTR NETWORKen_US
dc.description.abstractMedical text classification is mostly carried out on English data sets. The limited number of studies in Turkish is due to the compelling morphological structure of Turkish for natural language processing and the limited number of data sets in the medical domain. In addition, the use of domain specific words and abbreviations makes natural language processing studies more challenging. In this study, a classification model is implemented to assign article abstracts to appropriate disease categories using multilingual BERT and BERTurk models on a data set consisting of Turkish medical article abstracts. As a result of the experimental study, 0.82 and 0.93 F-score are obtained for multilingual BERT and BERTurk, respectively. The results show that the BERTurk is more successful than other compared models for Turkish medical text classification.en_US
dc.description.sponsorshipIEEE,IEEE Turkey Secten_US
dc.identifier.doi10.1109/SIU53274.2021.9477847
dc.identifier.isbn978-1-6654-3649-6
dc.identifier.scopus2-s2.0-85111423145en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.urihttps://doi.org/10.1109/SIU53274.2021.9477847
dc.identifier.urihttps://hdl.handle.net/11454/77476
dc.identifier.wosWOS:000808100700090en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isotren_US
dc.publisherIeeeen_US
dc.relation.ispartof29th Ieee Conference On Signal Processing And Communications Applications (Siu 2021)en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectText classificationen_US
dc.subjectmedical textsen_US
dc.subjectdisease classificationen_US
dc.subjectBERTen_US
dc.subjectBERTurken_US
dc.titleTurkish Medical Text Classification Using BERTen_US
dc.title.alternativeBERT modeli ile Türkçe medikal metin siniflandirmaen_US
dc.typeConference Objecten_US

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