The Style of a Successful Story: a Computational Study on the Fanfiction Genre

Andrea Mattei, D. Brunato, F. Dell’Orletta
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引用次数: 2

Abstract

This paper presents a new corpus for the Italian language representative of the fanfiction genre. It comprises about 55k usergenerated stories inspired to the original fantasy saga “Harry Potter” and published on a popular website. The corpus is large enough to support data-driven investigations in many directions, from more traditional studies on language variation aimed at characterizing this genre with respect to more traditional ones, to emerging topics in computational social science such as the identification of factors involved in the success of a story. The latter is the focus of the presented case-study, in which a wide set of multi-level linguistic features has been automatically extracted from a subset of the corpus and analysed in order to detect the ones which significantly discriminate successful from unsuccessful
成功故事的风格:同人小说类型的计算研究
本文提出了一个新的意大利语同人小说语料库。它由大约5.5万个用户创作的故事组成,这些故事的灵感来自原著奇幻传奇《哈利波特》,并发表在一个受欢迎的网站上。语料库足够大,可以支持在许多方向上进行数据驱动的调查,从更传统的语言变异研究,到计算社会科学中的新兴主题,如确定故事成功的因素。后者是本案例研究的重点,在该案例研究中,从语料库的一个子集中自动提取了一组广泛的多层次语言特征,并对其进行了分析,以检测那些显著区分成功和不成功的语言特征
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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