Please use this identifier to cite or link to this item: https://er.knutd.edu.ua/handle/123456789/31012
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dc.contributor.authorKrasniuk, Svitlana-
dc.date.accessioned2025-09-16T09:12:34Z-
dc.date.available2025-09-16T09:12:34Z-
dc.date.issued2025-02-
dc.identifier.citationKrasniuk 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.uk
dc.identifier.urihttps://er.knutd.edu.ua/handle/123456789/31012-
dc.description.abstractSocial 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.uk
dc.language.isoenuk
dc.publisherOxford, UK: Bookmundouk
dc.subjectanalysis & analyticsuk
dc.subjectphilologyuk
dc.subjectsocial mediauk
dc.subjectmachine linguisticsuk
dc.titleSocial media analysis & analytics in philologyuk
dc.typeThesisuk
local.subject.sectionСоціально-гуманітарні наукиuk
local.subject.facultyІнститут права та сучасних технологійuk
local.subject.departmentКафедра філології та перекладу (ФП)uk
local.conference.locationOxford, UKuk
local.conference.date2025-02-20-
local.conference.nameAdvances in Science, Technology, and Societyuk
local.subject.method1uk
Appears in Collections:Матеріали наукових конференцій та семінарів

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