Nabokov's Favorite Word Is Mauve

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出版者:Simon & Schuster
作者:Ben Blatt
出品人:
页数:288
译者:
出版时间:2017-3-14
价格:USD 25.00
装帧:Hardcover
isbn号码:9781501105388
丛书系列:
图书标签:
  • 数据分析
  • 文学
  • 非虚构
  • 英文
  • 美国
  • 写作
  • Books-About-Books
  • 文化
  • Nabokov Mauve 文学 小说 语言艺术 词义 诗意 19世纪 俄裔 现代主义
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具体描述

There’s a famous piece of writing advice—offered by Ernest Hemingway, Stephen King, and myriad writers in between—not to use -ly adverbs like “quickly” or “fitfully.” It sounds like solid advice, but can we actually test it? If we were to count all the -ly adverbs these authors used in their careers, do they follow their own advice compared to other celebrated authors? What’s more, do great books in general—the classics and the bestsellers—share this trait?

In Nabokov’s Favorite Word Is Mauve, statistician and journalist Ben Blatt brings big data to the literary canon, exploring the wealth of fun findings that remain hidden in the works of the world’s greatest writers. He assembles a database of thousands of books and hundreds of millions of words, and starts asking the questions that have intrigued curious word nerds and book lovers for generations: What are our favorite authors’ favorite words? Do men and women write differently? Are bestsellers getting dumber over time? Which bestselling writer uses the most clichés? What makes a great opening sentence? How can we judge a book by its cover? And which writerly advice is worth following or ignoring?

Blatt draws upon existing analysis techniques and invents some of his own. All of his investigations and experiments are original, conducted himself, and no math knowledge is needed to understand the results. Blatt breaks his findings down into lucid, humorous language and clear and compelling visuals. This eye-opening book will provide you with a new appreciation for your favorite authors and a fresh perspective on your own writing, illuminating both the patterns that hold great prose together and the brilliant flourishes that make it unforgettable.

作者简介

Ben Blatt is a former staff writer for Slate and The Harvard Lampoon who has taken his fun approach to data journalism to topics such as Seinfeld, mapmaking, The Beatles, and Jeopardy! His previous book, co-written with Eric Brewster, is I Don't Care if We Never Get Back, which follows the duo’s quest to go on the mathematically optimal baseball road trip, traveling 20,000 miles to a game in all thirty ballparks in thirty days without planes. Blatt’s work has also been published in The Wall Street Journal, The Boston Globe, and Deadspin.

目录信息

CONTENTS
Introduction 1
1. Using Sparingly 9
2. He Wrote, She Wrote 31
3. Searching for Fingerprints 59
4. Write by Example 83
5. Guiltier Pleasures 105
6. U.K. vs. U.S. 121
7. Cliches, Repeats, and Favorites 143
8. How to Judge a Book by Its Cover 177
9. Beginnings and Endings 197
Epilogue 217
Acknowledgments 221
Notes 223
· · · · · · (收起)

读后感

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如何你是一名画家,你可能想知道莫奈在画画的时候用的是什么颜料和绘画技术;如果你是一个乐队成员,你可能会想知道披头士是如何录制歌曲的。无论在何种情况下,在创作自己的作品之前,都希望对这门技艺的细节有一定的了解。 同样,在写作领域,我们也会从喜欢的书籍和景仰的作...

用户评价

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Amazing…换成中文就是:有趣极了。

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今年迄今个人最佳

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像侦探小说般剥丝抽茧,文学与数据一起跳舞。

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读起来时不时会勾起亲自上手的冲动。几点苛求:1. 要是出个云上开源的notebook版本该多好 2. 很多角度有趣但方法都还粗浅,可以深挖 3. Visualization上还有打磨的空间 4. 封面作者字体大小的数据是手动抠图收集的...!

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我最喜欢的文学八卦书,超心水,感觉像是追星小迷妹看到自己欧巴的起底报告。全程寻找Chuck Palahniuk名字!

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