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Application of DRSA-ANN Classifier in Computational Stylistics

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Foundations of Intelligent Systems (ISMIS 2011)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 6804))

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Abstract

Computational stylistics or stylometry deals with characteristics of writing styles. It assumes that each author expresses themselves in such an individual way that a writing style can be uniquely defined and described by some quantifiable measures. With help of contemporary computers the stylometric tasks of author characterisation, comparison, and attribution can be implemented using either some statistic-oriented approaches or methodologies from artificial intelligence domain. The paper presents results of research on an application of a hybrid classifier, combining Dominance-based Rough Set Approach and Artificial Neural Networks, within the task of authorship attribution for literary texts. The performance of the classifier is observed while exploiting an analysis of characteristic features basing on the cardinalities of relative reducts found within rough set processing.

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Author information

Authors and Affiliations

  1. Institute of Informatics, Silesian University of Technology, Akademicka 16, 44-100, Gliwice, Poland

    Urszula Stańczyk

Authors
  1. Urszula Stańczyk
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Editor information

Editors and Affiliations

  1. Faculty of Electronics and Information Technology, Institute of Computer Science, Warsaw University of Technology,, Nowowiejska 15/19, 00-665, Warsaw, Poland

    Marzena Kryszkiewicz

  2. Faculty of Electronics and Information Technology, Institute of Computer Science, Warsaw University of Technology, Nowowiejska 15/19, 00-665, Warsaw, Poland

    Henryk Rybinski

  3. University of Warsaw, 02-097, Warsaw, Poland

    Andrzej Skowron

  4. Faculty of Electronics and Information Technology, Institute of Computer Science, Warsaw University of Technology, Nowowiejska 15/19,, 00-665, Warsaw, Poland

    Zbigniew W. Raś

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Stańczyk, U. (2011). Application of DRSA-ANN Classifier in Computational Stylistics. In: Kryszkiewicz, M., Rybinski, H., Skowron, A., Raś, Z.W. (eds) Foundations of Intelligent Systems. ISMIS 2011. Lecture Notes in Computer Science(), vol 6804. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21916-0_73

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  • DOI: https://doi.org/10.1007/978-3-642-21916-0_73

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-21915-3

  • Online ISBN: 978-3-642-21916-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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