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Authorship Attribution Using Word Sequences

  • Rosa María Coyotl-Morales
  • Luis Villaseñor-Pineda
  • Manuel Montes-y-Gómez
  • Paolo Rosso
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4225)

Abstract

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.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Rosa María Coyotl-Morales
    • 1
  • Luis Villaseñor-Pineda
    • 1
  • Manuel Montes-y-Gómez
    • 1
  • Paolo Rosso
    • 2
  1. 1.Laboratorio de Tecnologías del LenguajeInstituto Nacional de Astrofísica, Óptica y ElectrónicaMéxico
  2. 2.Departamento de Sistemas Informáticos y ComputaciónUniversidad Politécnica de ValenciaEspaña

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