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» An Empirical Study of Feature Selection for Text Categorizat...
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SAC
2008
ACM
13 years 7 months ago
An efficient feature ranking measure for text categorization
A major obstacle that decreases the performance of text classifiers is the extremely high dimensionality of text data. To reduce the dimension, a number of approaches based on rou...
Songbo Tan, Yuefen Wang, Xueqi Cheng
ESANN
2007
13 years 9 months ago
Kernel PCA based clustering for inducing features in text categorization
We study dimensionality reduction or feature selection in text document categorization problem. We focus on the first step in building text categorization systems, that is the cho...
Zsolt Minier, Lehel Csató
SAC
2006
ACM
14 years 1 months ago
Exploiting partial decision trees for feature subset selection in e-mail categorization
In this paper we propose PARTfs which adopts a supervised machine learning algorithm, namely partial decision trees, as a method for feature subset selection. In particular, it is...
Helmut Berger, Dieter Merkl, Michael Dittenbach
ISCIS
2005
Springer
14 years 1 months ago
Text Categorization with Class-Based and Corpus-Based Keyword Selection
Abstract. In this paper, we examine the use of keywords in text categorization with SVM. In contrast to the usual belief, we reveal that using keywords instead of all words yields ...
Arzucan Özgür, Levent Özgür, T...
ISI
2007
Springer
14 years 1 months ago
FACT: Fast Algorithm for Categorizing Text
— With the ever-increasing number of digital documents, the ability to automatically classifying those documents both quickly and accurately is becoming more critical and difficu...
Saket S. R. Mengle, Nazli Goharian, Alana Platt