Reyes, AntonioProsso, PaoloMartí Antonin, M. AntòniaTaulé Delor, Mariona2019-02-282019-02-2820091135-5948https://hdl.handle.net/2445/129391The analysis of phenomena related to cognitive processes is a very important trend in Natural Language Processing (NLP) research. The study of sentiments, emotions or humour, through language, are a sample about how this tendency acquires a greater importance in the area. In this paper, we present the results obtained on a study of Automatic Humour Recognition (AHR) performed on a corpus of children's texts. The results indicate that through the identification of semantic and affective features the text classification can be achieved with success.9 p.application/pdfspa(c) Reyes, Antonio et al., 2009Tractament del llenguatge natural (Informàtica)HumorismeClassificacióNatural language processing (Computer science)Wit and humorClassificationinfo:eu-repo/semantics/article5709142019-02-28info:eu-repo/semantics/openAccess