Literary Data Mining: A review of Matthew Jockers, Macroanalysis: Digital Methods and Literary History (Urbana: University of Illinois Press, 2013).

This review finds that Jockers' Macroanalysis provides a clear and provocative argument in favor of literary critics' use of data mining in their efforts to understand literary history. The review finds Jockers' case for a blended approach, one that combines data mining with close-reading techniques, compelling, and it finds, in addition, that his claim that such an approach holds the potential to revolutionize literary study to be a fair assessment of the possibities offered by data mining tools and techniques.