In recent years, the incorporation of Artificial Intelligence (AI) into literary studies has significantly transformed the ways in which texts are analyzed and interpreted. This paper investigates a range of computational methods that have introduced innovative perspectives and analytical frameworks for scholars. By utilizing advanced AI-driven techniques, including natural language processing (NLP), machine learning, and neural networks, the study explores how these technologies contribute to a more profound understanding of literary works. They enable the discovery of underlying patterns and offer enhanced insights into themes, stylistic features, and the intentions of authors. Ultimately, this research seeks to connect technological advancements with literary scholarship, highlighting the role of artificial intelligence as an effective tool in interpreting the intricate and multifaceted nature of literary texts.
Sayyora Kurbanova (Wed,) studied this question.