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2025-05-01
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.
第七章特别有意思,感觉这个feature engineering做起来会很好玩
评分引人入胜,两天一气儿读完。很欣赏作者对分析结果谨慎谦虚的解读。如果说像FiveThirtyEight类似的分析是带点功利主义的,但对文学用数据的解读不太可能是为了reverse-engineer出最好的写作模式,看喜欢的作家们好像被排成一排检视一番看说没说真话确实是种新奇有趣的体验
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。
评分被标题吸引过来的,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。
评分被标题吸引过来的,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。
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...
评分Nabokov's Favorite Word Is Mauve pdf epub mobi txt 电子书 下载 2025