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KDD
2006
ACM
118views Data Mining» more  KDD 2006»
16 years 1 days ago
Reducing the human overhead in text categorization
Many applications in text processing require significant human effort for either labeling large document collections (when learning statistical models) or extrapolating rules from...
Arnd Christian König, Eric Brill
CIKM
2000
Springer
15 years 4 months ago
Scalable association-based text classification
Naïve Bayes (NB) classifier has long been considered a core methodology in text classification mainly due to its simplicity and computational efficiency. There is an increasing n...
Dimitris Meretakis, Dimitris Fragoudis, Hongjun Lu...
IJCNLP
2005
Springer
15 years 5 months ago
Classifying Chinese Texts in Two Steps
Abstract. This paper proposes a two-step method for Chinese text categorization (TC). In the first step, a Naïve Bayesian classifier is used to fix the fuzzy area between two cate...
Xinghua Fan, Maosong Sun, Key-Sun Choi, Qin Zhang
SDM
2012
SIAM
216views Data Mining» more  SDM 2012»
13 years 2 months ago
Feature Selection "Tomography" - Illustrating that Optimal Feature Filtering is Hopelessly Ungeneralizable
:  Feature Selection “Tomography” - Illustrating that Optimal Feature Filtering is Hopelessly Ungeneralizable George Forman HP Laboratories HPL-2010-19R1 Feature selection; ...
George Forman
IPM
2006
146views more  IPM 2006»
14 years 11 months ago
Dictionary-based text categorization of chemical web pages
A new dictionary-based text categorization approach is proposed to classify the chemical web pages efficiently. Using a chemistry dictionary, the approach can extract chemistry-re...
Chunyan Liang, Li Guo, Zhaojie Xia, Feng-Guang Nie...