In this paper, we study the effect of using-grams (sequences of words of length) for text
categorization. We use an efficient algorithm for generating such-gram features in two …

Text Categorization is a pattern classification task for text mining and necessary for efficient
management of textual information systems. The documents can be classified by three ways …

The goal of text categorization is to classify documents into a certain number of predefined
categories. The previous works in this area have used a large number of labeled training …

This paper presents the results obtained from a series of experiments in automatic text
categorization of MEDLINE articles. The main goal ofthis research is to build a counter …

This paper presents the results obtained from a series of experiments in automatic
textcategorization of MEDLINE articles. The main goal of this research is to build neural …

The paper presents a method for improving text classification by using examples that are
difficult to classify. Generally, researches to improve the text categorization performance are …

The automated categorization (or classification) of texts into predefined categories has
witnessed a booming interest in the last 10 years, due to the increased availability of …

The Problem: All classifiers require a set of features that can be used to distinguish between
different examples. In some cases, such as determining whether a chess position is a …

Over the years many models had been proposed for text categorization. One of the most
widely applied is the vector space model, assuming independence between indexing terms …

Abstract (Automatic) document classification is generally defined as content-based
assignment of one or more predefined categories to documents. Usually, machine learning …