Authorship Attribution Using Word Sequences

Author:

Coyotl-Morales Rosa María,Villaseñor-Pineda Luis,Montes-y-Gómez Manuel,Rosso Paolo

Publisher

Springer Berlin Heidelberg

Reference12 articles.

1. Ahonen-Myka, H.: Discovery of Frequent Word Sequences in Text Source. In: Proceedings of the ESF Exploratory Workshop on Pattern Detection and Discovery, London, UK (2002)

2. Argamon, S., Levitan, S.: Measuring the Usefulness of Function Words for Authorship Attribution. In: Association for Literary and Linguistic Computing/ Association Computer Humanities, University Of Victoria, Canada (2005)

3. Bekkerman, R., Allan, J.: Using, Bigrams in Text Categorization. CIIR Technical Report IR-408 Center for Intelligent Information Retrieval, University of Massachusetts Amherst (2004)

4. Chaski, C.: Who’s at the Keyword? Authorship Attribution in Digital Evidence Investigations. International Journal of Digital Evidence 4(1) (2005)

5. Diederich, J., Kindermann, J., Leopold, E., Paas, G.: Authorship Attribution with Support Vector Machines. Applied Intelligence 19(1), 109–123 (2003)

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