Please use this identifier to cite or link to this item:
https://er.knutd.edu.ua/handle/123456789/27558
Title: | Advanced text mining in philology |
Authors: | Krasniuk, Svitlana |
Keywords: | text intellectual analysis philological studies linguistic structures |
Issue Date: | Sep-2024 |
Publisher: | NGO International Center of Scientific Research |
Citation: | Krasniuk S. Advanced text mining in philology / S. Krasniuk // Interdisciplinary research: scientific horizons and perspectives : collection of scientific papers "SCIENTIA" with Proceedings of the VI International Scientific and Theoretical Conference, Stockholm, Kingdom of Sweden, September 27, 2024. – Stockholm, Kingdom of Sweden : International Center of Scientific Research, 2024. – P. 68-72. – URL: https://previous.scientia.report/index.php/archive/issue/view/27.09.2024 |
Abstract: | Deep textual intellectual analysis of philological data opens up new opportunities for the study of language, literature and culture. The use of modern deep learning technologies allows obtaining new insights from large text arrays, which makes this method indispensable for modern philology and interdisciplinary research. |
URI: | https://er.knutd.edu.ua/handle/123456789/27558 |
Faculty: | Інститут права та сучасних технологій |
Department: | Кафедра філології та перекладу (ФП) |
Appears in Collections: | Кафедра філології та перекладу (ФП) Матеріали наукових конференцій та семінарів |
Files in This Item:
File | Description | Size | Format | |
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Tezy_Stokcholm_2024.p.68-72.pdf | 545,1 kB | Adobe PDF | View/Open |
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