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Erschienen in:
2006 | OriginalPaper | Buchkapitel
Authorship Attribution Using Word Sequences
verfasst von : Rosa María Coyotl-Morales, Luis Villaseñor-Pineda, Manuel Montes-y-Gómez, Paolo Rosso
Erschienen in: Progress in Pattern Recognition, Image Analysis and Applications
Verlag: Springer Berlin Heidelberg
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Authorship attribution is the task of identifying the author of a given text. The main concern of this task is to define an appropriate characterization of documents that captures the writing style of authors. This paper proposes a new method for authorship attribution supported on the idea that a proper identification of authors must consider both stylistic and topic features of texts. This method characterizes documents by a set of word sequences that combine functional and content words. The experimental results on poem classification demonstrated that this method outperforms most current state-of-the-art approaches, and that it is appropriate to handle the attribution of short documents.