Vol. 7, Issue 1, Part K (2025)

The twenty-first century has witnessed an unprecedented transformation in the humanities, driven by the rise of digital technologies and the advent of data-driven methodologies. Digital Humanities (DH), an interdisciplinary field combining computational tools with humanistic inquiry, has redefined the study of literature by enabling large-scale text analysis, digital archiving, visualization, and interactive research practices. This paper examines how digital humanities have reshaped literary studies in the era of big data and technological innovation. It discusses the emergence of computational literary analysis, the role of text mining and natural language processing (NLP), the rise of digital archives and open-access platforms, and the pedagogical implications of DH for literary scholarship. Case studies such as the Google Books Ngram Viewer, the Stanford Literary Lab, and digitization projects like Project Gutenberg and the Digital South Asia Library illustrate the new possibilities opened by DH. However, the paper also addresses challenges, including questions of interpretation, the risk of reductionism, the digital divide, and ethical concerns over access and representation. Ultimately, the paper argues that digital humanities have not displaced traditional close reading but have complemented it, creating a dynamic methodological pluralism that redefines the future of literary studies in the age of data.