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» A novel feature selection algorithm for text categorization
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ESWA
2007
151views more  ESWA 2007»
13 years 4 months ago
A novel feature selection algorithm for text categorization
With the development of the web, large numbers of documents are available on the Internet. Digital libraries, news sources and inner data of companies surge more and more. Automat...
Wenqian Shang, Houkuan Huang, Haibin Zhu, Yongmin ...
ICML
2004
IEEE
14 years 5 months ago
Text categorization with many redundant features: using aggressive feature selection to make SVMs competitive with C4.5
Text categorization algorithms usually represent documents as bags of words and consequently have to deal with huge numbers of features. Most previous studies found that the major...
Evgeniy Gabrilovich, Shaul Markovitch
CIARP
2006
Springer
13 years 8 months ago
Oscillating Feature Subset Search Algorithm for Text Categorization
Abstract. A major characteristic of text document categorization problems is the extremely high dimensionality of text data. In this paper we explore the usability of the Oscillati...
Jana Novovicová, Petr Somol, Pavel Pudil
ACL
2009
13 years 2 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...
IBPRIA
2005
Springer
13 years 10 months ago
Extended Bi-gram Features in Text Categorization
Usually, in traditional text categorization systems based on Vector Space Model, there is no context information in a feature vector, which limited the performance of the system. T...
Xian Zhang, Xiaoyan Zhu