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 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.
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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 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.
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.
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.
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EUR 5,86 per la spedizione da Regno Unito a Italia
Destinazione, tempi e costiDa: Better World Books Ltd, Dunfermline, Regno Unito
Condizione: Good. Ships from the UK. Former library book; may include library markings. Used book that is in clean, average condition without any missing pages. Codice articolo GRP101947266
Quantità: 2 disponibili
Da: WorldofBooks, Goring-By-Sea, WS, Regno Unito
Paperback. Condizione: Good. The book has been read but remains in clean condition. All pages are intact and the cover is intact. Some minor wear to the spine. Codice articolo GOR012299289
Quantità: 1 disponibili
Da: WorldofBooks, Goring-By-Sea, WS, Regno Unito
Paperback. Condizione: Very Good. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged. Codice articolo GOR007681115
Quantità: 8 disponibili
Da: Anybook.com, Lincoln, Regno Unito
Condizione: Good. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In good all round condition. Dust jacket in good condition. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,600grams, ISBN:9780241243701. Codice articolo 4837499
Quantità: 1 disponibili
Da: Hall of Books, Oswestry, SHROP, Regno Unito
Hardback. Condizione: Fine. Condizione sovraccoperta: Fine. First UK edition hardback, 2016, with unclipped jacket. In overall fine, as-new condition. Internally clean. Binding tight and appears almost unopened; no annotation or inscriptions; text bright and clear throughout. Not an old library book. Codice articolo 201084
Quantità: 1 disponibili