Currently, the explosive increasing of data stimulates a greater demand for text
categorization. The existing prototype-based classifiers, including k-NN, kNNModel and …

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 …

Text classification is the process of classifying documents into predefined categories based
on their content. It is the automated assignment of natural language texts to predefined …

Text categorization is the task of automatically sorting a set of documents into categories
from a pre-defined set. This means it assigns predefines categories to free-text documents …

Text categorization is the task of discovering the category or class text documents belongs
to, or in other words spotting the correct topic for text documents. While there today exists …

The question addressed in this paper is to find a bidimensional representation of textual
documents for the problem of text categorisation. The projection of documents is performed …

Text document classification approaches are designed to categorise documents into
predefined classes. These approaches have two main components: document …

Evaluating Preprocessing Techniques in Text Categorization Page 1 International Journal of
Computer Science and Application Issue 2010 ISSN 0974-0767 49 Evaluating Preprocessing …