Nabokov's Favorite Word Is Mauve pdf epub mobi txt 电子书下载 2025

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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.

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

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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.

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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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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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可怕到令人发指，这人企图用科学分析来解构所有大作家的用字习惯，发现品钦的句子开场复杂多变程度以及整体多样性仅次于乔伊斯，但同时乔伊斯跟品钦的cliche数量也是名列前茅（而cliche恰恰又是全书最主观的部分）本以为作者已经有很深的文学功底，而且掺了science进去，可以让大小作家无所遁形，像没穿衣服一样，但是突然暴露了，中间突然说斯蒂芬金是他老乡，佩服的五体投地，每章都来一段斯蒂芬金，全书除了第7章品钦大战冯内古，还有作家惯用词频之外其他都不重要，而且很多文字描述都是多余的，看图表就够了。。涉猎还是不够广，很大作家都没有算进去，还有英语译本的译者等等

评分☆☆☆☆☆

像侦探小说般剥丝抽茧，文学与数据一起跳舞。