With the explosion of information fuelled by the growth of the World Wide Web, it is no longer
feasible for a human observer to understand all the data coming in or even classify it into …

Text classification is the process of classifying documents into predefined categories based
on their content. Existing supervised learning algorithms to automatically classify text need …

Text data is the most common form of storing information. When engine search an query,
user obtained the large collection of text data. All this retrieve text data are not relevant to the …

Text classification is becoming more and more important with the rapid growth of on-line
information available. This paper describes the text classification process. Of course, a …

The purpose of document classification is to assign the most appropriate label to a specified
document. The main challenges in document classification are insufficient label information …

Currently, the explosive increasing of data stimulates a greater demand for text
categorization. The existing prototype-based classifiers, including k-NN, kNNModel and …

This paper focuses on the information management systems of the dynamic World Wide
Web. Many individual web pages, such as news portals, provide periodic information and …

As the amount of online text increases, the demand for text categorization to aid the analysis
and management of text is increasing. Text is cheap, but information, in the form of knowing …

With the evolution of Internet, the meaning and accessibility of text documents and electronic
information has increased. The automatic text categorization methods became essential in …