Feature selection plays a vital role in text categorisation. A range of different methods have
been developed, each having unique properties and selecting different features. We show …

This paper proposes a new feature selection score for text classification. The value that this
score assigns to each feature has an appealing Bayesian interpretation, being the posterior …

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 …

Many feature selection methods have been proposed for text categorization. However, their
performances are usually verified by experiments, so the results rely on the corpora used …

Feature Selection is an important task within Text Categorization, where irrelevant or noisy
features are usually present, causing a lost in the performance of the classifiers. Feature …

In this paper, we focus on feature coverage policies used for feature selection in the text
classification domain. Two alternative policies are discussed and compared: corpus-based …

Feature selection is an important research issue in text categorization. The reason for this is
that thousands of features are often involved, even when the simplest document …

We introduce several methods of combining feature selectors for text classification. Results
from a large investigation of these combinations are summarized. Easily constructed …

A major difficulty of text categorization problems is the high dimensionality of the feature
space. Thus, feature selection is often performed in order to increase both the efficiency and …

Feature selection, an important task in text categorization, is used for the purpose of
dimensionality reduction. Feature selection basically can be performed locally and globally …