'If you're someone who dreams of penning a bestseller, read this book' The Week
'What if the success of E.L.James and Dan Brown was not so random? What if there were an algorithm that could pick out the bestseller DNA concealed within these books before they're published? This is the audacious claim made by Jodie Archer and Matthew Jockers ... Smart, savvy and full of ideas' Fiona Wilson, The Times
Girl on the Train. Fifty Shades. The Goldfinch. Why do some books capture the whole world's attention? In The Bestseller Code, Archer and Jockers boldly claim that not only can mega-hits be explained and identified - but they've built the algorithm to prove it. Using cutting-edge text mining techniques, they have developed a model that analyses theme, plot, style and character to explain why some books resonate more than others with readers. Provocative, entertaining, and ground-breaking, The Bestseller Code explores the hidden patterns at work in the biggest hits and, more importantly, the real reasons we love to read.
'Non-formulaic, eye-opening, deeply-researched - and really worth your time' GQ
'When a story captures the imagination of millions, that's magic. Can you qualify magic? Archer and Jockers just may have done so' Sylvia Day, no.1 bestselling author
'The claims are eye-grabbing . . . and also highly plausible' Robert Douglas-Fairhurst, Spectator
'Thought-provoking and interesting ... Here is a book worth reading' David Bond, Financial Times
"synopsis" may belong to another edition of this title.
JODIE ARCHER bought and edited books for Penguin UK before decamping for the doctoral program in English at Stanford University. After earning her Ph.D., she worked at Apple as their research lead on literature and has since consulted with many writers and businesses about literary success. She is now a full-time writer, coauthoring The Bestseller Code with Matthew L. Jockers.
MATTHEW L. JOCKERS is the Susan J. Rosowski Associate Professor of English at the University of Nebraska-Lincoln, where he teaches and directs the Nebraska Literary Lab. His text-mining research has been profiled in the New York Times, The LA Review of Books, The Sunday Times of London, and more. Matthew is the author of Macroanalysis: Digital Methods and Literary History and coauthor of The Bestseller Code with Jodie Archer.
"Non-formulaic, eye-opening, deeply-researched ― and really worth your time."― GQ
"A thought-provoking and interesting book." ― The Financial Times
"Reveals the diverse directions in which popular fiction may be taken. . . the bestseller-ometer may find its most noble application as a democratizing force" ― The Atlantic
"[T]his is a delightful book to read. I would recommend it as both an entertaining and educational read for anybody interested in the business of books." ―Digital Book World Daily
"This interesting little tome shares some of the Bookputer’s insights with us, just in case we want to become author-millionaires too. And who doesn’t? . . . Fascinating." ― The Times Review
"Aspiring novelists who thumb through this volume will find plenty to think about. . . [T]his book actually represents an opportunity for literary scholars." ― Public Books
"Archer is not some Silicon Valley whizz-kid looking to reduce the novel to 0s and 1s, nor is she a pretentious academic coming over the hills to sling around jargon about middlebrow novels. . . [She] is smart, savvy and full of ideas." ―The Times of London
"A laboratory is a more compelling setting than a church." ― The Wall Street Journal, which named The Bestseller Code one of the most-anticipated books of Fall 2016
"[The] claims are eye-grabbing. . . [and] also highly plausible." ―The Spectator
"Archer and Jockers “are ‘literature-friendly’ and want good books to succeed."―Wired
"When a story captures the imagination of millions, that's magic. Can you qualify magic? Archer and Jockers just may have done so." ―Sylvia Day, New York Times bestselling author
"The Bestseller Code excited me, scared me, and generally blew my mind. Archer and Jockers have built a reading robot that can teach readers, writers, and publishers a great deal about how popular fiction works. This is a pioneering work in a new science of storytelling." ―Jonathan Gottschall, author of The Storytelling Animal: How Stories Make Us Human.
"Archer and Jockers take an astonishing insight into the DNA of bestsellers and turn it into a gripping page-turner about how we read. Truly remarkable!" ―Viktor Mayer-Schönberger, co-author of Big Data and professor at Oxford
"May revolutionize the publishing industry." ―The Guardian
"The Bestseller Code is an intriguing read and its analysis of what makes a plot tick and how readers are grabbed is compelling."―Literary Review
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Book Description Paperback. Condition: new. Paperback. What if an algorithm could predict which manuscripts would become mega-bestsellers?Girl on the Train. Fifty Shades. The Goldfinch. Why do some books capture the whole world's attention? What secret DNA do they share? In The Bestseller Code, Archer and Jockers boldly claim that blockbuster hits are highly predictable, and they have created the algorithm to prove it. Using cutting-edge text mining techniques, they have developed a model that analyses theme, plot, style and character to explain why some books resonate more than others with readers. Provocative, entertaining, and ground-breaking, The Bestseller Code explores the hidden patterns at work in the biggest hits and, more importantly, the real reasons we love to read. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9780141982489
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Book Description Condition: New. Num Pages: 304 pages. BIC Classification: DSBH; UMB; VSP. Category: (G) General (US: Trade); (P) Professional & Vocational; (U) Tertiary Education (US: College). Dimension: 198 x 129. . . 2017. Paperback. . . . . Seller Inventory # V9780141982489