Matthew Lee Jockers's Books

The Bestseller Code

Anatomy of the Blockbuster Novel

By: Jodie Archer,Matthew L. Jockers

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The Bestseller Code

Anatomy of the Blockbuster Novel

By: Jodie Archer,Matthew L. Jockers

What if there was an algorithm that could predict which novels become mega-bestsellers? Are books like Dan Brown's The Da Vinci Code and Gillian Flynn's Gone Girl the Gladwellian outliers of publishing? [This book] boldly claims that the New York Times bestsellers in fiction are predictable and that it's possible to know with 97% certainty if a manuscript is likely to hit number one on the list as opposed to numbers two through fifteen. The algorithm does exist; the code has been cracked; the results are in"--

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Page Count

253

Publisher

Macmillan

Published Date

ISBN 10

1250088275

ISBN 13

9781250088277

Macroanalysis

Digital Methods and Literary History

By: Matthew L. Jockers

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Macroanalysis

Digital Methods and Literary History

By: Matthew L. Jockers

In this volume, Matthew L. Jockers introduces readers to large-scale literary computing and the revolutionary potential of macroanalysis--a new approach to the study of the literary record designed for probing the digital-textual world as it exists today, in digital form and in large quantities. Using computational analysis to retrieve key words, phrases, and linguistic patterns across thousands of texts in digital libraries, researchers can draw conclusions based on quantifiable evidence regarding how literary trends are employed over time, across periods, within regions, or within demographic groups, as well as how cultural, historical, and societal linkages may bind individual authors, texts, and genres into an aggregate literary culture. Moving beyond the limitations of literary interpretation based on the "close-reading" of individual works, Jockers describes how this new method of studying large collections of digital material can help us to better understand and contextualize the individual works within those collections.

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Page Count

211

Publisher

University of Illinois Press

Published Date

ISBN 10

025209476X

ISBN 13

9780252094767

Becoming Bestsellers: John Grisham and Danielle Steel (Sample from Chapter 2 of THE BESTSELLER CODE)

By: Jodie Archer,Matthew L. Jockers

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Becoming Bestsellers: John Grisham and Danielle Steel (Sample from Chapter 2 of THE BESTSELLER CODE)

By: Jodie Archer,Matthew L. Jockers

This sneak peek teaser - featuring literary giants John Grisham and Danielle Steele - from Chapter 2 of The Bestseller Code, a groundbreaking book about what a computer algorithm can teach us about blockbuster books, stories, and reading, reveals the importance of topic and theme in bestselling fiction according to percentages assigned by what the authors refer to as the “bestseller-ometer.” Although 55,000 novels are published every year, only about 200 hit the lists, a commercial success rate of less than half a percent. When the computer was asked to “blindly” select the most likely bestsellers out of 5,000 books published over the past thirty years based only on theme, it discovered two possible candidates: The Accident by Danielle Steel and The Associate by John Grisham. The computer recognized quantifiable patterns in their seemingly opposite, but undeniably successful writing careers with legal thrillers and romance. In Chapter 2, Archer and Jockers analyze this data and divulge the most and least likely to best sell topics and themes in fiction with a human discussion of the “why” behind these results. The Bestseller Code is a big-idea book about the relationship between creativity and technology. At heart it is a celebration of books for readers and writers—a compelling investigation into how successful writing works.

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Page Count

253

Publisher

St. Martin's Press

Published Date

ISBN 10

1250137950

ISBN 13

9781250137951

Text Analysis with R

For Students of Literature

By: Matthew Lee Jockers

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Text Analysis with R

For Students of Literature

By: Matthew Lee Jockers

This practical introduction explores core R procedures and processes and offers a thorough understanding of the possibilities of computational text analysis at both micro and macro scales. Each chapter concludes with a set of practice exercises.

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Page Count

283

Published Date

ISBN 10

3030396444

ISBN 13

9783030396442

Book's by Matthew Lee Jockers

The Bestseller Code

The Bestseller Code

Macroanalysis

Macroanalysis

Becoming Bestsellers: John Grisham and Danielle Steel (Sample from Chapter 2 of THE BESTSELLER CODE)

Becoming Bestsellers: John Grisham and Danielle Steel (Sample from Chapter 2 of THE BESTSELLER CODE)

Text Analysis with R

Text Analysis with R

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