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Title: Analysing part-of-speech for Portuguese text classification
Authors: Gonçalves, Teresa
Quaresma, Paulo
Keywords: machine learning
Text classification
Issue Date: 2006
Publisher: Springer-Verlag
Abstract: This paper proposes and evaluates the use of linguistic in- formation in the pre-processing phase of text classification. We present several experiments evaluating the selection of terms based on different measures and linguistic knowledge. To build the classifier we used Sup- port Vector Machines (SVM), which are known to produce good results on text classification tasks. Our proposals were applied to two different datasets written in the Portuguese language: articles from a Brazilian newspaper (Folha de So Paulo) and juridical documents from the Portuguese Attorney General’s Office. The results show the relevance of part-of-speech information for the pre-processing phase of text classification allowing for a strong re- duction of the number of features needed in the text classification.
Type: article
Appears in Collections:INF - Artigos em Livros de Actas/Proceedings

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