AI-Powered Automated Criticism Design Tool Based on Texts and its Themes

Its use in literary criticism might be one of the most novel opportunities to analyze texts and themes since artificial intelligence (AI) touches and improves every facet of human life. This paper has detailed issues on the application of AI-powered literary criticism and an overview of methodologies, applications, and implications accompanying the adoption of AI technologies. The paper starts with the context in which AI has actually emerged as one of the hot topics in literary studies, emanating from the crossroads of computational linguistics, natural language processing, and machine learning. “The true research opportunity that thus emerges from this work is the development of new AI technologies that can help supplement and augment traditional practices of literary analysis in such a way that scholars can get deeper into texts in search of the sorts of patterns and meanings that interest them. This paper presents illustrative examples and case studies in the applications of AI to literary criticism, which include sentiment analysis, topic modelling, and stylometric analysis. What these techniques afford researchers is a set of tools capable of processing large corpora of text with such accuracy and speed that identifying recurring motifs, characters dynamics, and thematic elements over genres, and literary periods is no problem. The following paper considers the ethical issues at the heart of AI-powered literary criticism, calling into question the algorithmic bias of authorship attribution and interpretive tasks it currently automates.