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Cross-Testing a Genre Classification Model for the Web

  • Marina SantiniEmail author
Chapter
Part of the Text, Speech and Language Technology book series (TLTB, volume 42)

Abstract

The main aim of the experiments described in this chapter is to investigate ways of assessing the robustness and stability of an Automatic Genre Identification (AGI) model for the web. More specifically, a series of comparisons using four genre collections are illustrated and analysed. I call this comparative approach cross-testing.

Keywords

Genre classification Genre corpora Multi-labelled classification Web genre modelling Cross-testing Genre evaluation 

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Copyright information

© Springer Science+Business Media B.V. 2010

Authors and Affiliations

  1. 1.KYHStockholmSweden

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