This paper reports our comparative evaluation of three machine learning methods on
Chinese text categorization. Whereas a wide range of methods have been applied to …

Automatic text classification is the task of organizing documents into pre-determined classes,
generally using machine learning algorithms. Generally speaking, it is one of the most …

Abstract In text categorization, Vector Space Model (VSM) has been widely used for
representing documents, in which a document is represented by a vector of terms. Since …

The majority of the data is preserved as text (about 75%), hence It is believed that text
mining has a significant commercial potential. Unstructured texts continue to be the most …

Information technology generated huge data on the internet. Initially this data is mainly in
English language so majority of data mining research work is on the English text documents …

Feature selection and extraction are frequently used solutions to overcome the curse of
dimensionality in text classification problems. We introduce an extraction method that …

Text categorization–the assignment of natural language documents to one or more
predefined categories based on their semantic content–is an important component in many …

The set of features which the traditional feature selection algorithm of chi-square selected is
not complete. This causes the low performance for the final text classification. Therefore, this …