圖書標籤: 數據分析 文學 非虛構 英文 美國 寫作 Books-About-Books 文化
发表于2024-12-23
Nabokov's Favorite Word Is Mauve pdf epub mobi txt 電子書 下載 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.
作為一般讀物圖錶太多寫得也不夠有趣,作為專業書籍又太業餘,迴歸分析連相關係數都不給齣。湯姆剋蘭西的書在暢銷書裏竟然算難的大概用瞭很多軍事專業詞匯的緣故。找槍手那個方法是不是改進下可以用來潤色稿子以消除槍手和原作者之間的統計誤差?書後列瞭所有用到的書單倒是值得一看。
評分可怕到令人發指,這人企圖用科學分析來解構所有大作傢的用字習慣,發現品欽的句子開場復雜多變程度以及整體多樣性僅次於喬伊斯,但同時喬伊斯跟品欽的cliche數量也是名列前茅(而cliche恰恰又是全書最主觀的部分) 本以為作者已經有很深的文學功底,而且摻瞭science進去,可以讓大小作傢無所遁形,像沒穿衣服一樣,但是突然暴露瞭,中間突然說斯蒂芬金是他老鄉,佩服的五體投地,每章都來一段斯蒂芬金,全書除瞭第7章品欽大戰馮內古,還有作傢慣用詞頻之外其他都不重要,而且很多文字描述都是多餘的,看圖錶就夠瞭。。 涉獵還是不夠廣,很大作傢都沒有算進去,還有英語譯本的譯者等等
評分今年迄今個人最佳
評分被標題吸引過來的,這本書果然很有趣。關於暢銷作傢的部分翻得快一些,對於經典作品的數據分析結果其實還是很符閤一些經典觀念的(例如海明威詞句簡潔,勞倫斯婦女之友)。值得注意的還有作者對於同人文學的特徵考察——是什麼將它們與正宗文學區彆開的?看完的想法:果然寫作教不得也學不來。
評分讀起來時不時會勾起親自上手的衝動。幾點苛求:1. 要是齣個雲上開源的notebook版本該多好 2. 很多角度有趣但方法都還粗淺,可以深挖 3. Visualization上還有打磨的空間 4. 封麵作者字體大小的數據是手動摳圖收集的...!
Nabokov's Favorite Word Is Mauve pdf epub mobi txt 電子書 下載 2024