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» Feature selection methods for text classification
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85
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ICNC
2005
Springer
15 years 3 months ago
An Improved Method of Feature Selection Based on Concept Attributes in Text Classification
The feature selection and weighting are two important parts of automatic text classification. In this paper we give a new method based on concept attributes. We use the DEF Terms o...
Shasha Liao, Minghu Jiang
KDD
2007
ACM
150views Data Mining» more  KDD 2007»
15 years 10 months ago
Feature selection methods for text classification
Anirban Dasgupta, Petros Drineas, Boulos Harb, Van...
ICML
2005
IEEE
15 years 11 months ago
Generalized LARS as an effective feature selection tool for text classification with SVMs
In this paper we generalize the LARS feature selection method to the linear SVM model, derive an efficient algorithm for it, and empirically demonstrate its usefulness as a featur...
S. Sathiya Keerthi
PRIS
2004
14 years 11 months ago
Effect of Feature Smoothing Methods in Text Classification Tasks
Abstract. The number of features to be considered in a text classification system is given by the size of the vocabulary and this is normally in the range of the tens or hundreds o...
David Vilar, Hermann Ney, Alfons Juan, Enrique Vid...
95
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ACL
2009
14 years 8 months ago
A Framework of Feature Selection Methods for Text Categorization
In text categorization, feature selection (FS) is a strategy that aims at making text classifiers more efficient and accurate. However, when dealing with a new task, it is still d...
Shoushan Li, Rui Xia, Chengqing Zong, Chu-Ren Huan...