Text categorization plays important role in the field of Natural Language Processing.
Recently, the rapid growth in the amount of textual data and requirement of automatic …

Öz Abstract Metin Sınıflandırma Doğal Dil İşleme (DDİ) alanında önemli bir yere sahiptir.
Son zamanlarda metinsel verilerin artması ve otomatik etiketlenmesi gerekliliği, metin …

In text classification, texts have to be transformed into numeric representations suitable for
the learning algorithms. A main problem with the commonly used bag of words method is the …

This paper introduces a set of new approaches for text representation for automatic
classification of Arabic textual documents. These approaches are based on combining the …

Text classification (TC) is the task of automatically assigning documents to a fixed number of
categories. TC is an important component in many text applications. Many of these …

Which features are the most important for the text classification tasks? In the automatic text
categorization area, several studies seek answers to this question. In this paper, a feature …

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

Majority of the existing text classification algorithms are based on the “bag of words”(BOW)
approach, in which the documents are represented as weighted occurrence frequencies of …

With the advancing growth of the World Wide Web (WWW) and the expanding availability of
electronic text documents, the automatic assignment of text classification (ATC) has become …

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