and management of text is increasing. Text is cheap, but information, in the form of knowing
what classes a text belongs to, is expensive. Automatic categorization of text can provide this
information at low cost, but the classifiers themselves must be built with expensive human
effort, or trained from texts which have themselves been manually classified. Text
categorization using Association Rule and Na\" ive Bayes Classifier is proposed here …