图书标签: 数据分析 文学 非虚构 英文 美国 写作 Books-About-Books 文化
发表于2025-01-27
Nabokov's Favorite Word Is Mauve pdf epub mobi txt 电子书 下载 2025
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.
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.
蛮有意思的数据分析,讲了作者是不是遵循自己提出的写作技巧(例如少用副词,简练、简短开头等等),用词和POV上的性别差异,写作的音量,封面营销(随着作家名气渐长,名字占封面比越来越大),以及随着时代发展文学作品变得越来越通俗易懂。读过之后更令我感觉名作者果真是厉害。。。
评分非常有趣;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。
评分今年迄今个人最佳
评分今年迄今个人最佳
评分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。
Nabokov's Favorite Word Is Mauve pdf epub mobi txt 电子书 下载 2025