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Title: A preliminary approach to the multilabel classification problem of Portuguese juridical documents
Authors: Gonçalves, Teresa
Quaresma, Paulo
Keywords: machine learning
Text classification
Issue Date: 2003
Publisher: Springer-Verlag
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 automat- ically 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 learn- ing algorithm and the obtained results are presented and compared with other approaches, such as C4.5 and Naive Bayes.
Type: article
Appears in Collections:INF - Artigos em Livros de Actas/Proceedings

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