Nabokov's Favorite Word Is Mauve

Nabokov's Favorite Word Is Mauve pdf epub mobi txt 電子書 下載2025

出版者:Simon & Schuster
作者:Ben Blatt
出品人:
頁數:288
译者:
出版時間:2017-3-14
價格:USD 25.00
裝幀:Hardcover
isbn號碼:9781501105388
叢書系列:
圖書標籤:
  • 數據分析
  • 文學
  • 非虛構
  • 英文
  • 美國
  • 寫作
  • Books-About-Books
  • 文化
  • Nabokov Mauve 文學 小說 語言藝術 詞義 詩意 19世紀 俄裔 現代主義
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具體描述

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.

著者簡介

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.

圖書目錄

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)

讀後感

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谁能帮我们找到《洛丽塔》的作者纳博科夫最喜欢的词?纳博科夫自己,狂热读者书迷,他的传记作者,亦或文学评论家?结果是——统计学家。这可能有点出乎意料,但细想之下又在情理之中。用计算机爬梳一下纳博科夫所有的作品,找出几个“高频词”似乎并非么难事,为何值得专门写...  

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用戶評價

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作為一般讀物圖錶太多寫得也不夠有趣,作為專業書籍又太業餘,迴歸分析連相關係數都不給齣。湯姆剋蘭西的書在暢銷書裏竟然算難的大概用瞭很多軍事專業詞匯的緣故。找槍手那個方法是不是改進下可以用來潤色稿子以消除槍手和原作者之間的統計誤差?書後列瞭所有用到的書單倒是值得一看。

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Amazing…換成中文就是:有趣極瞭。

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第七章特彆有意思,感覺這個feature engineering做起來會很好玩

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今年迄今個人最佳

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像偵探小說般剝絲抽繭,文學與數據一起跳舞。

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