Global Sci-Tech

Text mining refers to the process of deriving high-quality information from text. A number of approaches have been developed to represent and classify text documents. Most of the approach try to achieve good classification performance by considering a document only by words. Suitable method should be used for mapping text to best features. In this paper, performance analysis of three different supervised algorithms, as a text classifier, on the basis of two different feature representation methods-Count Vector and Term Frequency Inverse Document Frequency method is discussed.