Quantitative Literary Analysis & AI: A New Frontier in Humanities Research

My presentation focused on pedagogical and analytical framework at the intersection of computational methods and literary studies. It was delivered as part of the prestigious LUNE Fellowship series where I had the privilege to be among the LUNE faculty that mentored graduate students in Nigeria on the intersection of AI in social sciences and humanities and explores how large language models, prompt engineering, and corpus linguistics are reshaping the future of African and global literary scholarship. Drawing from a wide range of theoretical traditions and tools, the presentation provides an empirically grounded roadmap for using AI for literary analysis. Key features include: Quantitative linguistic analysis of Things Fall Apart by Chinua Achebe Original prompts for feminist, postcolonial, and ontological reading strategies Insights on African language corpora and early digital humanities pioneers Demonstrations of prompt engineering’s transformative power in literary inquiry Personally, I think you would find this as a good resource for scholars, students, and digital humanists seeking to bridge literary tradition with AI innovation.