منابع مشابه
Structure-based Clustering of Novels
To date, document clustering by genres or authors has been performed mostly by means of stylometric and content features. With the premise that novels are societies in miniature, we build social networks from novels as a strategy to quantify their plot and structure. From each social network, we extract a vector of features which characterizes the novel. We perform clustering over the vectors o...
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Speaker identification is the task of attributing utterances to characters in a literary narrative. It is challenging to automate because the speakers of the majority of utterances are not explicitly identified in novels. In this paper, we present a supervised machine learning approach for the task that incorporates several novel features. The experimental results show that our method is more a...
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The study of novels and the analysis of their plot, characters and other entities are time-consuming and complex tasks in literary science. The digitization of literature and the proliferation of electronic books provide new opportunities to support these tasks with visual abstractions. Methods from the fields of computational linguistics can be used to automatically extract entities and their ...
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For a long time, writing novels is traditionally regarded as personal and private activities. People record their unique experience and emotions and project it into complicated characters and elaborated stories. However, there are other kinds of novels, called popular novels or internet novels, that are written to satisfy readers’ emotional need and demand. Despite various world settings, many ...
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ژورنال
عنوان ژورنال: Impressions d’Extrême-Orient
سال: 2018
ISSN: 2107-027X
DOI: 10.4000/ideo.1012