[PDF][PDF] A novel feature selection score for text categorization

S Eyheramendy, D Madigan - Proceedings of the Workshop on Feature …, 2005 - siam.org
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 …

Information gain and divergence-based feature selection for machine learning-based text categorization

C Lee, GG Lee - Information processing & management, 2006 - Elsevier
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 …

[PDF][PDF] Optimally combining positive and negative features for text categorization

Z Zheng, R Srihari - ICML 2003 Workshop, 2003 - site.uottawa.ca
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 …

[PDF][PDF] Categorical proportional difference: A feature selection method for text categorization

M Simeon, R Hilderman - Proceedings of the 7th Australasian Data Mining …, 2008 - Citeseer
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 …

Evaluation of feature combination approaches for text categorisation

R Neumayer, K Nørvåg - … Symposium, ISMIS 2011, Warsaw, Poland, June …, 2011 - Springer
Text categorisation relies heavily on feature selection. Both the possible reduction in
dimensionality as well as improvements in classification performance are highly desirable …

Combination of feature selection methods for text categorisation

R Neumayer, R Mayer, K Nørvåg - … on IR Research, ECIR 2011, Dublin …, 2011 - Springer
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 …

Feature selection strategies for text categorization

P Soucy, GW Mineau - Advances in Artificial Intelligence: 16th Conference …, 2003 - Springer
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 …

Finding optimal linear measures for feature selection in text categorization

E Montanes, EF Combarro, J Ranilla… - Proceedings of the 2006 …, 2006 - dl.acm.org
A common way of performing Feature Selection in Text Categorization consists in keeping
the features with highest score according to certain measures, like linear ones which have …

A general framework of feature selection for text categorization

H Jing, B Wang, Y Yang, Y Xu - Machine Learning and Data Mining in …, 2009 - Springer
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 …

A new approach to feature selection for text categorization

S Li, C Zong - 2005 International Conference On Natural …, 2005 - ieeexplore.ieee.org
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 …