Support Vector Machines and Document Classification

Automatic Text categorization using machine learning methods like Support Vector Machines (SVM) have tremendous potential for effectively organizing electronic resources. Human categorization is very costly and time-consuming, thus limiting its application for large or rapidly changing collections. SVM is a comparatively new technique with a very solid mathematical foundation for solving a variety of ‘learning from examples’ problem and gives high performance in practical applications.