Automated unsupervised authorship analysis using evidence accumulation clustering

نویسندگان
چکیده

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Automated unsupervised authorship analysis using evidence accumulation clustering

Authorship Analysis aims to extract information about the authorship of documents from features within those documents. Typically, this is performed as a classification task with the aim of identifying the author of a document, given a set of documents of known authorship. Alternatively, unsupervised methods have been developed primarily as visualisation tools to assist the manual discovery of ...

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Some real-world authorship analysis applications require techniques that scale to thousands of documents with little or no a priori information about the number of candidate authors. While there is extensive research on identifying authors given a small set of candidates and ample training data, almost none is based on real-world applications of clustering documents by authorship, independent o...

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ژورنال

عنوان ژورنال: Natural Language Engineering

سال: 2011

ISSN: 1351-3249,1469-8110

DOI: 10.1017/s1351324911000313