Some Experiments in Humour Recognition Using the Italian Wikiquote Collection

  • Davide Buscaldi
  • Paolo Rosso
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4578)

Abstract

In this paper we present some results obtained in humour classification over a corpus of Italian quotations manually extracted and tagged from the Wikiquote project. The experiments were carried out using both a multinomial Naïve Bayes classifier and a Support Vector Machine (SVM). The considered features range from single words to n-grams and sentence length. The obtained results show that it is possible to identify the funny quotes even with the simplest features (bag of words); the bayesian classifier performed better than the SVM. However, the size of the corpus size is too small to support definitive assertions.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • Davide Buscaldi
    • 1
  • Paolo Rosso
    • 1
  1. 1.Dpto. de Sistemas Informáticos y Computación (DSIC), Universidad Politécnica de ValenciaSpain

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