中国网络小说流行的秘密:语料库驱动的研究

Yi-Ju Lin, S. Hsieh
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引用次数: 3

摘要

写通俗小说的秘诀是什么?这个问题在各个领域的研究人员中都很有趣。本研究的目的是识别几本流行网络小说的语言特征,以及在每本小说的类型和主题中发现的文本特征和整体语气如何相互作用。除了写作风格之外,非文本信息也可能揭示网络小说成功背后的细节。由于网络小说已经成为一个主要产业,顶级作家赚了数百万美元,他们的故事被改编成出版的书,确定“可出版”小说的基本要素是很重要的。本研究进一步探讨了非文本信息,即点击、分享、收藏和评论的数量,如何影响最受欢迎的已出版和未出版网络小说的几个特征。研究发现,小说的关键词、虚词和词汇多样性与小说的体裁和写作风格密切相关,而对话比例则反映了故事的叙事声音。此外,这些小说的句子也相对较短。数据还显示,收藏和评论的数量分别是未出版网络小说的分享数量和点击量的重要预测指标;然而,网络小说的点击量和出版份额更难以预测。2012 ACM学科分类
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Secret to Popular Chinese Web Novels: A Corpus-Driven Study
What is the secret to writing popular novels? The issue is an intriguing one among researchers from various fields. The goal of this study is to identify the linguistic features of several popular web novels as well as how the textual features found within and the overall tone interact with the genre and themes of each novel. Apart from writing style, non-textual information may also reveal details behind the success of web novels. Since web fiction has become a major industry with top writers making millions of dollars and their stories adapted into published books, determining essential elements of “publishable” novels is of importance. The present study further examines how non-textual information, namely, the number of hits, shares, favorites, and comments, may contribute to several features of the most popular published and unpublished web novels. Findings reveal that keywords, function words, and lexical diversity of a novel are highly related to its genres and writing style while dialogue proportion shows the narration voice of the story. In addition, relatively shorter sentences are found in these novels. The data also reveal that the number of favorites and comments serve as significant predictors for the number of shares and hits of unpublished web novels, respectively; however, the number of hits and shares of published web novels is more unpredictable. 2012 ACM Subject Classification
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