COMPUTER METHODS IN LITERARY STUDIES: USING ARTIFICIAL INTELLIGENCE, BIG DATA, AND ALGORITHMIC APPROACHES FOR TEXT ANALYSIS

dc.contributor.author	Kadirova M. X.
dc.date.accessioned	2025-12-28T12:12:26Z
dc.date.issued	2025-10-25
dc.description.abstract	The article explores the transformative impact of computer-based methods on literary studies, with a focus on the combined use of artificial intelligence (AI), big data processing, and algorithmic modelling for in-depth analysis and interpretation of literary texts with unprecedented depth and scale.
dc.format	application/pdf
dc.identifier.uri	https://usajournals.org/index.php/6/article/view/1256
dc.identifier.uri	https://asianeducationindex.com/handle/123456789/5184
dc.language.iso	eng
dc.publisher	Modern American Journals
dc.relation	https://usajournals.org/index.php/6/article/view/1256/1340
dc.rights	Copyright (c) 2025 Modern American Journal of Linguistics, Education, and Pedagogy
dc.rights	https://creativecommons.org/licenses/by/4.0
dc.source	Modern American Journal of Linguistics, Education, and Pedagogy; Vol. 1 No. 7 (2025); 465-470
dc.source	3067-7874
dc.subject	Digital literary analysis, machine learning, natural language processing, distant reading, stylometric profiling, thematic clustering, semantic embeddings, computational humanities.
dc.title	COMPUTER METHODS IN LITERARY STUDIES: USING ARTIFICIAL INTELLIGENCE, BIG DATA, AND ALGORITHMIC APPROACHES FOR TEXT ANALYSIS
dc.type	info:eu-repo/semantics/article
dc.type	info:eu-repo/semantics/publishedVersion
dc.type	Peer-reviewed Article

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