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» A novel refinement approach for text categorization
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CIKM
2005
Springer
13 years 10 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...
DGO
2007
174views Education» more  DGO 2007»
13 years 5 months ago
A bootstrapping approach for identifying stakeholders in public-comment corpora
A stakeholder is an individual, group, organization, or community that has an interest or stake in a consensus-building process. The goal of stakeholder identification is identify...
Jaime Arguello, Jamie Callan
PKDD
2007
Springer
86views Data Mining» more  PKDD 2007»
13 years 10 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
SIGIR
2003
ACM
13 years 9 months ago
A maximal figure-of-merit learning approach to text categorization
A novel maximal figure-of-merit (MFoM) learning approach to text categorization is proposed. Different from the conventional techniques, the proposed MFoM method attempts to integ...
Sheng Gao, Wen Wu, Chin-Hui Lee, Tat-Seng Chua
ACL
2007
13 years 5 months ago
A Feature Based Approach to Leveraging Context for Classifying Newsgroup Style Discussion Segments
On a multi-dimensional text categorization task, we compare the effectiveness of a feature based approach with the use of a stateof-the-art sequential learning technique that has ...
Yi-Chia Wang, Mahesh Joshi, Carolyn Penstein Ros&e...