Driven Linguistic Analysis: Enhancing Literary Interpretation Through Natural Language Processing

Abstract

This study explores the intersection of artificial intelligence (AI) and literary analysis, focusing on how Natural Language Processing (NLP) can enhance the interpretation of literary texts. By leveraging advanced NLP techniques, the research aims to uncover deeper meanings, identify linguistic patterns, and provide insights into themes, character development, and stylistic elements in literature. AI algorithms can analyze large corpora of texts, detecting nuances such as metaphor, tone, and sentiment, which may be overlooked in traditional analysis. The application of NLP in literary interpretation also promises to aid in the translation of literary works, ensuring cultural and linguistic subtleties are preserved. This paper investigates the potential of AI to enrich literary scholarship and improve the accessibility and understanding of complex texts across languages and cultures. Ultimately, it highlights the transformative role of AI in reshaping the future of literary studies.