A preliminary approach to the multilabel classification problem of Portuguese juridical documents

Abstract

Portuguese juridical documents from Supreme Courts and the Attorney General's Office are manually classified by juridical experts into a set of classes belonging to a taxonomy of concepts. In this paper, a preliminary approach to develop techniques to automatically classify these juridical documents, is proposed. As basic strategy, the integration of natural language processing techniques with machine learning ones is used. Support Vector Machines (SVM) are used as learning algorithm and the obtained results are presented and compared with other approaches, such as C4.5 and Naïve Bayes. © Springer-Verlag Berlin Heidelberg 2003.