Text categorization through multistrategy learning and visualization

Abstract

This paper introduces a multistrategy learning approach to the categorization of text documents. The approach benefits from two existing, and in our view complimentary, sets of categorization techniques: those based on Rocchio 's algorithm and those belonging to the rule learning class of machine learning algorithms. Visualization is used for the presentation of the output of learning.