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

Authors

  • Kadirova M. X. Lecturer, Department of Russian Literary Studies Chirchik State Pedagogical University Author

Keywords:

Digital literary analysis, machine learning, natural language processing, distant reading, stylometric profiling, thematic clustering, semantic embeddings, computational humanities.

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.

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Published

2025-10-25

Issue

Vol. 1 No. 7 (2025)

Section

Articles

License

Copyright (c) 2025 Modern American Journal of Linguistics, Education, and Pedagogy

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

COMPUTER METHODS IN LITERARY STUDIES: USING ARTIFICIAL INTELLIGENCE, BIG DATA, AND ALGORITHMIC APPROACHES FOR TEXT ANALYSIS. (2025). Modern American Journal of Linguistics, Education, and Pedagogy, 1(7), 465-470. https://usajournals.org/index.php/6/article/view/1256