Implementing a Characterization of Genre for Automatic Genre Identification of Web Pages

  • Santini M
  • Power R
  • Evans R
  • 26

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Abstract

In this paper, we propose an implementable characterization of genre suitable for automatic genre identification of web pages. This characterization is implemented as an inferential model based on a modified version of Bayes’ theorem. Such a model can deal with genre hybridism and individualization, two important forces behind genre evolution. Results show that this approach is effective and is worth further research.

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Authors

  • M Santini

  • R Power

  • R Evans

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