Analyzing Readability Level of Educational Content in Turkish Language

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dc.contributor.authorTorer, Mustafa Anil
dc.contributor.authorOzcan, Rifat
dc.date.accessioned2025-10-24T18:10:20Z
dc.date.available2025-10-24T18:10:20Z
dc.date.issued2015
dc.departmentMalatya Turgut Özal Üniversitesi
dc.description12th International Conference on Electronics Computer and Computation (ICECCO) -- SEP 27-30, 2015 -- Suleyman Demirel Univ, Almaty, KAZAKHSTAN
dc.description.abstractIn today's environment, in which digital data is continuously increasing, it is of prime importance for students to find data appropriate for their readability level. In this study, our aim is to classify educational data in Turkish based on their readability level. Three readability formulas and new syllable and word level features are used in this study. K12 level Turkish Language course textbooks published by Turkish Ministry of National Education are used as training data. Classifier models are created with Naive Bayes, Decision Tree, Random Forest and Multilayer Perceptron classification algorithms, from these books. Our test data includes educational web pages obtained from 14 different web sites. As a result of the study, the readability formulas with the suggested word level features achieved more successful readability level detection than the readability formulas without them.
dc.description.sponsorshipTurgut Ozal Univ,Inter Ataturk Alatoo Univ
dc.identifier.endpage46
dc.identifier.issn#DEĞER!
dc.identifier.scopus2-s2.0-84964678988
dc.identifier.scopusqualityN/A
dc.identifier.startpage43
dc.identifier.urihttps://hdl.handle.net/20.500.12899/4108
dc.identifier.wosWOS:000380400900010
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherIeee
dc.relation.ispartof2015 Twelve International Conference On Electronics Computer And Computation (Icecco)
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_20251023
dc.subjectClassification; Educational Data; Readability; Readability Formulas; Turkish Course Textbook
dc.titleAnalyzing Readability Level of Educational Content in Turkish Language
dc.typeConference Object

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