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2024-06-28
Nabokov's Favorite Word Is Mauve pdf epub mobi txt 电子书 下载 2024
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.
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Amazing…换成中文就是:有趣极了。
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...
Nabokov's Favorite Word Is Mauve pdf epub mobi txt 电子书 下载 2024