Categorização de textos utilizando algoritmos de aprendizagem de máquina com WEKA

Abstract

This paper presents a study on the classification of textual data sets using machine learning algorithms through the WEKA platform. It presents an overview of the interpretation of language in texts, characteristics and stages of the classification rating and forms of results evaluation and performance of the algorithms. Through testing it exemplifies up the process of classification of texts and analyzing the results looking for affinities between various possible algorithms by the technique of application databases with different characteristics.