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» A class-feature-centroid classifier for text categorization
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ACL
2009
14 years 7 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...
CIKM
2005
Springer
15 years 3 months ago
A novel refinement approach for text categorization
In this paper we present a novel strategy, DragPushing, for improving the performance of text classifiers. The strategy is generic and takes advantage of training errors to succes...
Songbo Tan, Xueqi Cheng, Moustafa Ghanem, Bin Wang...
AAI
2006
215views more  AAI 2006»
14 years 9 months ago
Extensive Evaluation of Efficient NLP-Driven Text Classification
Extensive experimental evidence is required to study the impact of text categorization approaches on real data and to assess the performance within operational scenarios. In this ...
Roberto Basili, Alessandro Moschitti, Maria Teresa...
PKDD
2007
Springer
86views Data Mining» more  PKDD 2007»
15 years 3 months ago
An Effective Approach to Enhance Centroid Classifier for Text Categorization
Centroid Classifier has been shown to be a simple and yet effective method for text categorization. However, it is often plagued with model misfit (or inductive bias) incurred by i...
Songbo Tan, Xueqi Cheng
MEDINFO
2007
14 years 11 months ago
Using Discourse Analysis to Improve Text Categorization in MEDLINE
PROBLEM: Automatic keyword assignment has been largely studied in medical informatics in the context of the MEDLINE database, both for helping search in MEDLINE and in order to pr...
Patrick Ruch, Antoine Geissbühler, Julien Gob...