Artificial Intelligence - Driven Literary Interpretation in the Age of Digital Humanities

Mahesh J Javaregowda

Artificial Intelligence - Driven Literary Interpretation in the Age of Digital Humanities

Author(s)	Prof. Mahesh J Javaregowda
Country	India
Abstract	In the field of Digital Humanities, scholars increasingly rely on digital technologies for large-scale literary analysis. The rapid advancement of Artificial Intelligence (AI) has significantly transformed the methods, scope, and possibilities of literary interpretation. Rather than replacing human insight, AI functions as a powerful analytical tool that enhances traditional critical approaches through computational techniques. By employing methods such as Natural Language Processing (NLP), machine learning, text mining, and sentiment analysis, researchers are able to examine extensive literary corpora and identify recurring patterns, stylistic features, thematic structures, and intertextual connections that may remain unnoticed through conventional close reading alone. From a Digital Humanities perspective, AI fosters a productive interaction between quantitative analysis and qualitative interpretation, enabling scholars to integrate data-driven insights with humanistic inquiry. Tools designed for authorship attribution, narrative structure analysis, metaphor detection, and reader-response modelling illustrate how AI expands interpretative possibilities while simultaneously raising important questions regarding algorithmic bias, transparency, and the limitations of machine-based reading. This research paper argues that AI should be regarded not as a replacement for literary scholarship, but as a collaborative instrument that strengthens and enriches critical interpretation. By situating AI within the broader epistemological framework of Digital Humanities, the study highlights both the opportunities and challenges associated with integrating intelligent technologies into literary studies. Ultimately, the paper reaffirms the enduring importance of human judgment, creativity, and critical insight in the interpretation of literature.
Keywords	Artificial Intelligence (AI), Digital Humanities, Literary Interpretation, Literary Studies, Natural Language Processing (NLP), Machine Learning, Text Mining, Sentiment Analysis, Computational Literary Analysis, Digital Literary Studies, Literary Criticism, Intertextuality, Algorithmic Reading, Humanistic Inquiry.
Field	Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In	Volume 7, Issue 3, May-June 2026
Published On	2026-05-16

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Artificial Intelligence - Driven Literary Interpretation in the Age of Digital Humanities

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