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Towards basque oral poetry analysis : a machine learning approach

Article: Anglais. Online Fond de bibliothèque
Auteur(s)
Agirrezabal, Manex ; Astigarraga Pagoaga, Aitzol ; Osinalde, Mikel ; Rodriguez Rodriguez, Igor
Titre
Towards basque oral poetry analysis : a machine learning approach / Mikel Osinalde, Aitzol Astigarraga, Igor Rodriguez and Manex Agirrezabal
En
Proceedings of the Student Research Workshop, 2013, 119–125
Thèmes
Bertsolaritza
Content
Testu osoa
Autres auteurs
EHU. Ixa Taldea
Typologie
Article
ISBN / ISSN
1314-9156
This work aims to study the narrative structure of Basque greeting verses from a text classification approach. We propose a set of thematic categories for the correct classification of verses, and then, use those categories to analyse the verses based on Machine Learning techniques. Classification methods such as Naive Bayes, k-NN, Support Vector Machines and Decision Tree Learner have been selected. Dimensionality reduction techniques have been applied in order to reduce the term space. The results shown by the experiments give an indication of the suitability of the proposed approach for the task at hands.