Please use this identifier to cite or link to this item:
|Title: ||A preliminary approach to the multilabel classification problem of Portuguese juridical documents|
|Authors: ||Gonçalves, Teresa|
|Keywords: ||machine learning|
|Issue Date: ||2003|
|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.|
|Appears in Collections:||INF - Artigos em Livros de Actas/Proceedings|
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.