With overwhelming growth of information technology, better organization of documents is required for easy access of information. Hence the need for text categorization becomes critical. Many researchers have turned their attention towards text categorization. Text categorization is the automated assignment of predefined categories to the text documents based on document contents. We proposed an automatic text categorization approach that uses profiles for categorization of text documents. A new similarity method has been used for measuring similarity between profiles and documents. We have explored different ways of profile creation and concluded that the increase in distance between profiles improves the classifier performance. Our classifier has an improved performance when compared with similar kind of text categorization methods
['K. Lakshmi', 'Saswati Mukherjee']
Profile Extraction from Mean Profile for Automatic Text Categorization