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Beschreibung

'If you're someone who dreams of penning a bestseller, read this book' The Week

'What if the success of E.[...] 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

'If you're someone who dreams of penning a bestseller, read this book' The Week

'What if the success of E.[...] 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

Über den Autor
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.
Details
Erscheinungsjahr: 2017
Genre: Importe
Rubrik: Ratgeber
Thema: Briefe, Bewerbungen, Wiss. Arbeiten, Rhetorik
Medium: Taschenbuch
Inhalt: 242 S.
ISBN-13: 9780141982489
ISBN-10: 0141982489
Sprache: Englisch
Einband: Kartoniert / Broschiert
Autor: Jockers, Matthew
Archer, Jodie
Hersteller: Mayhem Books
Verantwortliche Person für die EU: Petersen Buchimport GmbH, Vertrieb, Weidestr. 122a, D-22083 Hamburg, gpsr@petersen-buchimport.com
Maße: 198 x 128 x 20 mm
Von/Mit: Matthew Jockers (u. a.)
Erscheinungsdatum: 06.07.2017
Gewicht: 0,193 kg
Artikel-ID: 108548521