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 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 …

Text categorization is the task of automatically assigning unlabeled text documents to some
predefined category labels by means of an induction algorithm. Since the data in text …

This paper presents a novel local feature selection approach for text categorization. It
constructs a feature set for each category by first selecting a set of terms highly indicative of …

Most previous works of feature selection emphasized only the reduction of high
dimensionality of the feature space. But in cases where many features are highly redundant …

A bstract This paper describes an experimental study of feature selection in statistical
learning of text categorization. We used the* 2-statistic to select the most distinguishing …

Text categorization presents unique challenges to traditional classification methods due to
the large number of features inherent in the datasets from real-world applications of text …

Text categorization (TC) is a problem of assigning a document into predefined classes. One
of the most important issues in TC is feature selection. In this paper, we propose a new …

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 …

This paper reports a controlled study on a large number of filter feature selection methods for
text classification. Over 100 variants of five major feature selection criteria were examined …