Some Experiments in Humour Recognition Using the Italian Wikiquote Collection

Authors:
Davide Buscaldi;Paolo Rosso
Affiliations:
Dpto. de Sistemas Informáticos y Computación (DSIC), Universidad Politécnica de Valencia, Spain;Dpto. de Sistemas Informáticos y Computación (DSIC), Universidad Politécnica de Valencia, Spain
Venue:
WILF '07 Proceedings of the 7th international workshop on Fuzzy Logic and Applications: Applications of Fuzzy Sets Theory
Year:
2007

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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.