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SIGIR
2003
ACM
15 years 7 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
INFOVIS
2000
IEEE
15 years 6 months ago
Visualizing Sequential Patterns for Text Mining
A sequential pattern in data mining is a finite series of elements such as A → B → C → D where A, B, C, and D are elements of the same domain. The mining of sequential patte...
Pak Chung Wong, Wendy Cowley, Harlan Foote, Elizab...
DL
2000
Springer
173views Digital Library» more  DL 2000»
15 years 6 months ago
Content-based book recommending using learning for text categorization
Recommender systems improve access to relevant products and information by making personalized suggestions based on previous examples of a user's likes and dislikes. Most exi...
Raymond J. Mooney, Loriene Roy
LREC
2010
158views Education» more  LREC 2010»
15 years 3 months ago
Human Judgements on Causation in French Texts
The annotation of causal relations in natural language texts can lead to a low inter-annotator agreement. A French corpus annotated with causal relations would be helpful for the ...
Cécile Grivaz
SDM
2008
SIAM
133views Data Mining» more  SDM 2008»
15 years 3 months ago
Semantic Smoothing for Bayesian Text Classification with Small Training Data
Bayesian text classifiers face a common issue which is referred to as data sparsity problem, especially when the size of training data is very small. The frequently used Laplacian...
Xiaohua Zhou, Xiaodan Zhang, Xiaohua Hu