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 …

Text classification is one of the important research issues in the field of text mining, where
the documents are classified with supervised knowledge. In literature we can find many text …

In this paper, we compare several aspects related to automatic text categorization which
include document representation, feature selection, three classifiers, and their application to …

Experience shows that different text classification methods can give different results. We look
here at a way of combining the results of two or more different classification methods using …

Automatic text classification is the task of organizing documents into pre-determined classes,
generally using machine learning algorithms. Generally speaking, it is one of the most …

Typical text classifiers learn from example and training documents that have been manually
categorized. In this research, our experiment dealt with the classification of news wire …

Classification algorithms and document representation approaches are two key elements for
a successful document classification system. In the past, much work has been conducted to …

In this paper, which is a report from work in progress, we briefly present the new document
representation that could be used in classic text mining applications, such as document …

In the literature, many feature types are proposed for document classification. However, an
extensive and systematic evaluation of the various approaches has not yet been done. In …

Automatic text classification is the process of automatically classifying text documents into
pre-defined document classes. Traditionally, documents are represented in the so called …