Please use this identifier to cite or link to this item:
https://er.knutd.edu.ua/handle/123456789/31012
Title: | Social media analysis & analytics in philology |
Authors: | Krasniuk, Svitlana |
Keywords: | analysis & analytics philology social media machine linguistics |
Issue Date: | Feb-2025 |
Publisher: | Oxford, UK: Bookmundo |
Citation: | Krasniuk S. Social media analysis & analytics in philology / S. Krasniuk // Advances in Science, Technology, and Society: Proceedings of the International Scientific Conference (2025, February 20). - Oxford, UK: Bookmundo, 2025. - P. 228-232. |
Abstract: | Social media has created a huge digital linguistic space, in which millions of texts are generated daily in different languages. This data contains unique information about language trends, semantic changes, stylistic features and sociolinguistic aspects of communication. Social Media Analysis & Analytics (Social Media Mining) based on Machine Learning, Artificial Intelligence and Big Data have become important tools in philological research. This article examines the methods, technologies and applied aspects of using Social Media Analysis & Analytics in modern philology. |
URI: | https://er.knutd.edu.ua/handle/123456789/31012 |
Faculty: | Інститут права та сучасних технологій |
Department: | Кафедра філології та перекладу (ФП) |
Appears in Collections: | Матеріали наукових конференцій та семінарів |
Files in This Item:
File | Description | Size | Format | |
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title_ стор 228_.pdf | 898,25 kB | Adobe PDF | View/Open | |
content_р 228_.pdf | 280,77 kB | Adobe PDF | View/Open | |
tezy_228-232.pdf | 436,56 kB | Adobe PDF | View/Open |
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