Literary Fiction

Literary fiction research increasingly leverages computational methods to analyze narrative structure, character emotion dynamics, and social themes, moving beyond traditional humanistic approaches. Current investigations employ natural language processing (NLP) techniques, including character interaction graphs and various machine learning algorithms for tasks like authorship attribution, quotation identification, and genre classification. These computational analyses aim to enhance our understanding of reader engagement, thematic coherence, and the relationship between literary works and their socio-cultural contexts, offering new insights into both the creative process and the impact of literature.