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引用次数: 2

摘要

本文运用文体学对美国作家斯蒂芬·金的73篇长篇和中篇小说的文学性进行了量化分析,并将其作为文学评价中被称为“高”和“低”的作家的一个特殊案例。我们使用基于两个定制比较语料库中1000个最常见单词的文体距离(余弦δ)度量来操作文学性:一个是流行类型小说,另一个是国家图书奖获奖作者。我们报告说,监督模型在区分两个类别方面非常有效,在二元分类中有94.6%的宏观平均。我们定义了金的两个文本子集——由评论家和我们提出的“高”和“低”文学性作品——并发现一个预测模型确实将金的黑暗塔系列和小说(如多洛雷斯·克莱本)确定为他最“文学”的文本,这与评论界的接受一致,这也将后现代特质归因于黑暗塔小说。我们的研究结果证明了余弦δ文体学在量化文本文学性方面的有效性,同时也强调了文学性的方法论挑战,特别是在斯蒂芬·金的案例中。复制我们的结果的代码和数据可在https://github.com/andreasvc/kinglit上获得
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Stylometric Literariness Classification: the Case of Stephen King
This paper applies stylometry to quantify the literariness of 73 novels and novellas by American author Stephen King, chosen as an extraordinary case of a writer who has been dubbed both “high” and “low” in literariness in critical reception. We operationalize literariness using a measure of stylistic distance (Cosine Delta) based on the 1000 most frequent words in two bespoke comparison corpora used as proxies for literariness: one of popular genre fiction, another of National Book Award-winning authors. We report that a supervised model is highly effective in distinguishing the two categories, with 94.6% macro average in a binary classification. We define two subsets of texts by King—“high” and “low” literariness works as suggested by critics and ourselves—and find that a predictive model does identify King’s Dark Tower series and novels such as Dolores Claiborne as among his most “literary” texts, consistent with critical reception, which has also ascribed postmodern qualities to the Dark Tower novels. Our results demonstrate the efficacy of Cosine Delta-based stylometry in quantifying the literariness of texts, while also highlighting the methodological challenges of literariness, especially in the case of Stephen King. The code and data to reproduce our results are available at https://github.com/andreasvc/kinglit
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