on their content. Existing supervised learning algorithms to automatically classify text need
sufficient documents to learn accurately. This paper presents a new algorithm for text
classification that requires fewer documents for training. Instead of using words, word
relation ie association rules from these words is used to derive feature set from preclassified
text documents. The concept of Naive Bayes classifier is then used on derived features and …