Chinese Text Categorization Based on Fuzzy Association Rules

With the rapid evolution of Internet and the broad application of computer technology, the number of electronic texts increases quickly. Classifying these texts effectively becomes more and more important. This paper proposes a novel approach for automatic Chinese text categorization. By introducing fuzzy sets concept, it improves the existing categorization approaches based on association rules. The mined fuzzy association rules are used as a classifier to classify Chinese texts. Experimental results show that the new approach is feasible and the categorization effectiveness is enhanced