On the Empirical Evaluation of Hybrid Author Identification Method

نویسندگان

  • Seifeddine Mechti
  • Maher Jaoua
  • Rim Faiz
  • Bassem Bsir
  • Lamia Hadrich Belguith
چکیده

In this paper we focus on the identification of the author of a written text. We present a new hybrid method that combines a set of stylistic and statistical features in a machine learning process. We tested the effectiveness of the linguistic and statistical features combined with the inter-textual distance "Delta" on the PAN’@CLEF’2015 English corpus and we obtained 0.59 as c@1 precision.

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تاریخ انتشار 2015