1. ELARTU — Інституційний репозитарій ТНТУ імені Івана Пулюя
  2. Вісник ТНТУ
  3. 2026
  4. Вісник ТНТУ, 2026, № 1 (121)
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dc.contributor.authorNykytyuk, Vyacheslav
dc.contributor.authorDolinskyi, Andrii
dc.date.accessioned2026-10-13T08:33:26Z-
dc.date.available2026-10-13T08:33:26Z-
dc.date.created2026-03-24
dc.date.issued2026-03-24
dc.date.submitted2026-01-04
dc.identifier.citationNykytyuk V. Application of large language models in generating Ukrainian corpora for training text classification systems / Vyacheslav Nykytyuk, Andrii Dolinskyi // Scientific Journal of TNTU. — Tern. : TNTU, 2026. — Vol 121. — No 1. — P. 46–55.
dc.identifier.issn2522-4433
dc.identifier.urihttp://elartu.tntu.edu.ua/handle/lib/54154-
dc.description.abstractThis study deals with the application of modern Artificial Intelligence technologies, mainly deep learning methods based on recurrent neural networks of the Long Short-Term Memory (LSTM) type, for the construction and analysis of Ukrainian-language corpora. The research attention is directed to the automated classification of text sentiment (tonality), which involves distributing texts into positive, neutral, and negative categories. This, sequentially, testified the effectiveness of the proposed algorithmic solutions and their suitability for the tasks of analyzing the emotional tone of Ukrainian-language content.
dc.format.extent46-55
dc.language.isoen
dc.publisherТНТУ
dc.publisherTNTU
dc.relation.ispartofВісник Тернопільського національного технічного університету, 1 (121), 2026
dc.relation.ispartofScientific Journal of the Ternopil National Technical University;, 1 (121), 2026
dc.relation.urihttps://doi.org/10.36059/978-966-397-538-2-7
dc.relation.urihttps://doi.org/10.48550/arXiv.2005.14165
dc.relation.urihttps://doi.org/10.48550/arXiv.2303.18223
dc.relation.urihttps://doi.org/10.33108/visnyk_tntu2023.01.072
dc.relation.urihttps://doi.org/10.33108/visnyk_tntu2023.04.026
dc.relation.urihttps://doi.org/10.37394/232014.2023.19.3
dc.relation.urihttps://doi.org/10.48550/arXiv.1706.03762
dc.relation.urihttps://doi.org/10.15407/jai2024.02.085
dc.relation.urihttps://doi.org/10.48550/arXiv.2403.02990
dc.relation.urihttps://doi.org/10.48550/arXiv.2302.13007
dc.relation.urihttps://doi.org/10.1145/3544558
dc.relation.urihttps://www.deeplearningbook.org
dc.relation.urihttps://doi.org/10.1162/neco.1997.9.8.1735
dc.relation.urihttps://doi.org/10.48550/arXiv.1301.3781
dc.relation.urihttps://doi.org/10.33395/sinkron.v8i2.12235
dc.subjectArtificial intelligence
dc.subjectdeep learning
dc.subjectLSTM models
dc.subjecttext sentiment
dc.subjectlanguage dataset
dc.subjectcorpus
dc.subjecttext classification
dc.subjectnatural language processing
dc.subjectUkrainian language
dc.subjectautomation
dc.subjectmessage analysis
dc.titleApplication of large language models in generating Ukrainian corpora for training text classification systems
dc.typeArticle
dc.rights.holder© Ternopil Ivan Puluj National Technical University, 2026
dc.coverage.placenameТернопіль
dc.coverage.placenameTernopil
dc.format.pages10
dc.relation.referencesen1. O. Zalutska, Method for analyzing the Ukrainian language texts sentiment using natural language processing, in: Information Control Systems and Intelligent Technologies. Advances and Applications, Liha-Pres, Lviv, 2022, pp. 122–137. https://doi.org/10.36059/978-966-397-538-2-7. (In Ukrainian).
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dc.identifier.doihttps://doi.org/10.33108/visnyk_tntu2026.01.046
dc.contributor.affiliationTernopil Ivan Puluj National Technical University, Ternopil, Department computer science, Ukraine
dc.citation.journalTitleВісник Тернопільського національного технічного університету
dc.citation.volume121
dc.citation.issue1
dc.citation.spage46
dc.citation.epage55
dc.identifier.citation2015Nykytyuk V., Dolinskyi A. Application of large language models in generating Ukrainian corpora for training text classification systems // Scientific Journal of TNTU, Ternopil. 2026. Vol 121. No 1. P. 46–55.
dc.identifier.citationenAPANykytyuk, V., & Dolinskyi, A. (2026). Application of large language models in generating Ukrainian corpora for training text classification systems. Scientific Journal of the Ternopil National Technical University;, 121(1), 46-55. TNTU..
dc.identifier.citationenCHICAGONykytyuk V., Dolinskyi A. (2026) Application of large language models in generating Ukrainian corpora for training text classification systems. Scientific Journal of the Ternopil National Technical University; (Tern.), vol. 121, no 1, pp. 46-55.
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