A COMPREHENSIVE AI-DRIVEN STYLISTIC ANALYSIS OF EDGAR ALLAN POE’S 'THE BLACK CAT': BRIDGING THE COMPUTATIONAL GAP IN DIGITAL HUMANITIES

Abstract

This paper presents a comprehensive analysis of Edgar Allan Poe's Gothic short story "The Black Cat" through an artificial intelligence-driven stylistic approach. By adopting a hybrid computational framework, this paper addresses limitations encountered in previous analyses of Somerset Maugham's "The Kite," where the Gemini CLI is not used for multilayered literary analysis due to technical discrepancies across previous methodologies. A synthetic methodology was used to combine traditional stylistic frameworks (Leech and Short, 2007; Zeki Hamawand, 2023; H.B. Model, 2020; and Billiard Ball Model, 2004) and to examine lexical, grammatical, semantic, and narrative structures. This study, using an AI engine that can recognize concrete nouns, perform contextual tagging of nouns in associated matrices, and synthesize extra-linguistic realities, eliminates many of the limitations of traditional analysis tools such as RapidMiner Studio. The analysis finds that Poe's manipulation of formal vocabulary and complex syntax provides a psychological portrait of guilt, demonstrating that generative models used today surpass traditional analyses by manual evaluators.