Most contemporary digital studies are interested in distant-reading paradigms for large-scale literary history. This book asks what happens when such telescopic techniques function as a microscope instead. The first monograph to bring a range of computational methods to bear on a single novel in a sustained fashion, it focuses on the award-winning and genre-bending Cloud Atlas (2004). Published in two very different versions worldwide without anyone taking much notice, David Mitchell's novel is ideal fodder for a textual-genetic publishing history, reflections on micro-tectonic shifts in language by authors who move between genres, and explorations of how we imagine people wrote in bygone eras. Though Close Reading with Computers focuses on but one novel, it has a crucial exemplary function: author Martin Paul Eve demonstrates a set of methods and provides open-source software tools that others can use in their own literary-critical practices. In this way, the project serves as a bridge between users of digital methods and those engaged in more traditional literary-critical endeavors.
"This book is full of 'aha!' moments. The sheer number, combination, and experimentalist élan of Eve's methods set a model for how future distant and close readers might work in concert, closing the gap between the digital humanities and the larger communities of scholars of literature, book history, and textual criticism."
University of California, Santa Barbara
"This book is a field-defining intervention in an area of literary studies that is just starting to expand and find its ground. Martin Paul Eve has a rare stylistic facility: the ability to combine rhetorical accessibility with a commanding view of several related fields of literary studies and digital humanities."
Paul A. Harris
Loyola Marymount University
"Literary scholars intrigued by computational methods but frustrated that they only seem useful for dry factual questions or vast aerial surveys will find Close Reading with Computers a welcome surprise and an impressive achievement. Seamlessly blending idioms often cast as antagonists, Eve shows how new methods can illuminate familiar critical questions."
University of Illinois, Urbana-Champaign