The increasing numbers of on-line text documents make the process of searching and
accessing documents related to a specific category a very difficult task. By classifying the …

A well representing feature set that has enough differentiated power plays an important role
in the classification. The existing techniques for feature set selection are mostly statistical …

ABSTRACT As most information (over 80%) is stored as text, text mining is believed to have
a high commercial potential value. knowledge may be discovered from many sources of …

The enormous amount of information stored in unstructured texts cannot simply be used for
further processing by computers, which typically handle text as simple sequences of …

Text Mining is the discovery of valuable, yet hidden, information from the text document. Text
classification (Also called Text Categorization) is one of the important research issues in the …

Text classification is the process of classifying documents into predefined categories based
on their content. It is the automated assignment of natural language texts to predefined …

The traditional KNN query is a kind of algorithm with good stability and accuracy
performance. However, when the sample size is too large, the computational efficiency of …

Text classification is the automated assignment of natural language texts to predefined
categories based on their content. Text classification is the primary requirement of text …

In the current generation, a huge amount of textual documents are generated and there is an
urgent need to organize them in a proper structure so that classification can be performed …

Text classification is the process of classifying documents into predefined categories based
on their content. It is the automated assignment of natural language texts to predefined …