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...

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文学的好坏本来就没有标准答案,有人会说:时间会告诉我们。中国四大名典著作是什么?是《三国演义》、《西游记》、《水浒传》及《红楼梦》。为什么是这几本?因为多少年来,多少人已帮我们筛选,能留下来的都是觉得值得保存的。 那么伟大作家有什么样的创作偏好?伟大作家的经...  

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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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即将毕业的你,凭着英语专业8级,找到一份外贸实习的工作。你为了顺利通过试用期,入职三个月来,工作非常卖力。你每天琢磨如何写好邮件,以期顺利开发出新客户。可是理想美好,现实残酷,你发的邮件全部泥牛入海,没有激起一片浪花。 你很疑惑,自己英语科班出身,各种英语表...  

用户评价

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作为一般读物图表太多写得也不够有趣,作为专业书籍又太业余,回归分析连相关系数都不给出。汤姆克兰西的书在畅销书里竟然算难的大概用了很多军事专业词汇的缘故。找枪手那个方法是不是改进下可以用来润色稿子以消除枪手和原作者之间的统计误差?书后列了所有用到的书单倒是值得一看。

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被标题吸引过来的,这本书果然很有趣。关于畅销作家的部分翻得快一些,对于经典作品的数据分析结果其实还是很符合一些经典观念的(例如海明威词句简洁,劳伦斯妇女之友)。值得注意的还有作者对于同人文学的特征考察——是什么将它们与正宗文学区别开的?看完的想法:果然写作教不得也学不来。

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非常有趣;不只是将纳博科夫的,主要对多种文学作品内容的词频分析,有很多有趣的结论。

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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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第七章特别有意思,感觉这个feature engineering做起来会很好玩

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