The rapid growth of World Wide Web has rendered the document classification by humans
infeasible which has given impetus to the techniques like Data mining, NLP and Machine …

Feature selection that aims to determine and select the distinctive terms representing a best
document is one of the most important steps of classification. With the feature selection …

To meet the fast and effective requirements of document classification in Web 2.0, the most
direct strategy is to reduce the dimension of document representation without much …

Several comparatives studies report new findings relevant to the Text Categorization (TC)
task, and all provide valuable observations. However, many of them addressed western …

We propose a document classifier based on principal component analysis (PCA) and one-
class support vector machine (OCSVM), where PCA helps achieve dimensionality reduction …

Categorizing Text documents is the method of arranging different types of documents into
labelled data. The field of this paper is to combine the Data mining Technology, Data …

This paper proposes a new approach for text categorization, based on a feature projection
technique. In our approach, training data are represented as the projections of training …

There are three factors involved in text classification. These are classification model,
similarity measure and document representation model. In this paper, we will focus on …

Document Classification is one of the most important topic in Computer Science as the
number of electronic documents are increasingly very rapidly each day. Document …