This technique is mainly based upon the set of input and
output, which is a supervised technique. In order to classify
the document the set of input and output examples are used to
train the model, which is being used. The main objective is to
train the classifier on the basis of known examples then
unknown examples are categorized automatically. To
categorize the text a number of classification techniques can
be applied. Here NaIve Bayesian classifier and Nearest
Neighbour classifier are discussed.