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 …

Many machine learning algorithms have been applied to text classification tasks. In the
machine learning paradigm, a general inductive process automatically builds a text classifier …

Text categorization–the assignment of natural language texts to one or more predefined
categories based on their content–is an important component in many information …

This paper examines the use of inductive learning to categorize natural language
documents into prede ned content categories. Categorization of text is of increasing …

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 …

Automatic text categorization has always been an important application and research topic
since the inception of digital documents. Today, text categorization is a necessity due to the …

Supervised text categorization is a machine learning task where a predefined category label
is automatically assigned to a previously unlabelled document based upon characteristics of …

Traditionally, text classifiers are built from labeled training examples. Labeling is usually
done manually by human experts (or the users), which is a labor intensive and time …

Automatic organization of documents has become an important research issue since the
explosion of digital and online text information. There are mainly two machine learning …

Automatic classification of text documents has become an important research issue now
days. Proper classification of text documents requires information retrieval, machine learning …