Automatic document classification due to its various applications in data mining and
information technology is one of the important topics in computer science. Classification …

The main objective is to propose a text classification based on the features selection and
preprocessing thereby reducing the dimensionality of the Feature vector and increase the …

The development of the World Wide Web it is no longer feasible for a user can understand
all the data coming from classify into categories. The expansion of information and power …

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 …

The demand of text classification is growing significantly in web searching, data mining, web
ranking, recommendation systems and so many other fields of information and technology …

This paper reports a comparative study of two machine learning methods on Arabic text
categorization. Based on a collection of news articles as a training set, and another set of …

Document classification can be defined as the task of automatically categorizing collections
of electronic documents into their annotated classes, based on their contents. In recent years …

This paper aims to implement a Support Vector Machines (SVMs) based text classification
system for Arabic language articles. This classifier uses CHI square method as a feature …

To categorize the data reduces the access time. Nowadays, the Internet is one of the biggest
data resources. However, most of the data on the Internet is written in natural language. To …

Text classification is used to classify the document of similar types. Text classification can be
also performed under supervision ie it is an supervised leaning technique Text classification …