'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
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Matthew Jockers (Author)
Matthew L. Jockers was the co-founder of Stanford University's Literary Lab in Silicon Valley. His digital humanities work has been profiled in The New York Times, the LA Review of Books and more. He is Associate Professor of English at the University of Nebraska in Lincoln.
Jodie Archer (Author)
Jodie Archer bought and edited books for Penguin UK before she decamped for the doctoral program in English at Stanford University. After her PhD, she worked at Apple as their research lead on literature. She is now a full-time writer.
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Paperback. Zustand: Good. '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 TimesGirl 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. Bestandsnummer des Verkäufers 00109816578
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Paperback. Zustand: 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. Bestandsnummer des Verkäufers 9780141982489
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Paperback. Zustand: New. '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 TimesGirl 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. Bestandsnummer des Verkäufers LU-9780141982489
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Paperback. Zustand: Good. '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 TimesGirl 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. Bestandsnummer des Verkäufers CIN0141982489G
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Anbieter: AwesomeBooks, Wallingford, Vereinigtes Königreich
Paperback. Zustand: Very Good. The Bestseller Code This book is in very good condition and will be shipped within 24 hours of ordering. The cover may have some limited signs of wear but the pages are clean, intact and the spine remains undamaged. This book has clearly been well maintained and looked after thus far. Money back guarantee if you are not satisfied. See all our books here, order more than 1 book and get discounted shipping. . Bestandsnummer des Verkäufers 7719-9780141982489
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Zustand: New. pp. 304. Bestandsnummer des Verkäufers 371859119
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Zustand: 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. . . . . Bestandsnummer des Verkäufers 9780141982489
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