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 automated categorisation (or classification) of texts into topical categories has a long
history, dating back at least to 1960. Until the late'80s, the dominant approach to the problem …

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

Most of the research on text categorization has focused on classifying text documents into a
set of categories with no structural relationships among them (flat classification). However, in …

Text categorization systems often use machine learning techniques to induce document
classifiers from preclassified examples. The fact that each example document belongs to …

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

We tackle two different problems of text categorization (TC), namely feature selection and
classifier induction. Feature selection (FS) refers to the activity of selecting, from the set of r …

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 …