Natural Language Processing Based Poet Recognition with Supervised Learning on Turkish Poetry Dataset

Serkan Korkmaz; Fehim Köylü

doi:10.56038/oprd.v4i1.470

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Natural Language Processing Based Poet Recognition with Supervised Learning on Turkish Poetry Dataset

Serkan Korkmaz¹,

Fehim Köylü²

¹Harran University

²Erciyes University

Received:Apr 16, 2024→Accepted:May 24, 2024→Published:May 31, 2024

DOI: 10.56038/oprd.v4i1.470

Vol. 4, No. 1

Abstract

Natural language processing-based studies become popular nowadays and Turkish based studies are increasing. The problem of author classification is based on determining whether an anonymous text belongs to one of the popular authors. This research problem is motivated by the idea that each author's work will reflect some basic features about the author's intellectual vocabulary and thus it should be possible to distinguish between authors. In this study, 50 poems of 5 different poets from Turkish Literature were taken and a dataset was obtained. Experiments were performed on the dataset using 9 different classifier methods. This is a preliminary study that will serve as a basis for future studies.

Keywords

Natural language processingtext miningsupervised learningsupport vector machineBayesian classifiersdecision treesrandom forest

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Cite This Article

Korkmaz, S., Köylü, F. (2024). Natural Language Processing Based Poet Recognition with Supervised Learning on Turkish Poetry Dataset. *Orclever Proceedings of Research and Development*, 4(1), 115-122. https://doi.org/10.56038/oprd.v4i1.470

Bibliographic Info

JournalOrclever Proceedings of Research and Development

Volume4

Issue1

Pages115–122

PublishedMay 31, 2024

eISSN2980-020X

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Abstract

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