Jodie Archer is an author and former editor at Penguin Publishing in the United Kingdom. She has a PhD from Stanford University and has acted as a consultant for various writers and literary businesses.
Matthew L. Jockers is an English professor at the University of Nebraska as well as the director of the school’s Nebraska Literary Lab. His previous academic writing explores the field of text mining and the digital analysis of writing.
The Bestseller Code (2016) reveals the remarkable story behind a newly developed computer algorithm with the power to unlock the secrets behind the most popular best-selling books. By analyzing over a thousand bestsellers, patterns have emerged that show us which themes, plots, styles and characters contribute to earning a book a spot at the top of the charts.
Macroanalysis by Matthew L. Jockers offers a groundbreaking exploration of the potential of big data and computational analysis in the study of literature. By analyzing vast amounts of texts, Jockers uncovers patterns and trends that provide new insights into literary history, style, and authorship. This book challenges traditional literary analysis and paves the way for a more data-driven approach to the study of literature.
Readers interested in the intersection of literature and technology
Academics and researchers in the fields of digital humanities and computational literary analysis
Professionals in the publishing industry seeking insights into reader preferences and market trends