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DGO
2008
126views Education» more  DGO 2008»
13 years 8 months ago
Active learning for e-rulemaking: public comment categorization
We address the e-rulemaking problem of reducing the manual labor required to analyze public comment sets. In current and previous work, for example, text categorization techniques...
Stephen Purpura, Claire Cardie, Jesse Simons
FLAIRS
2008
13 years 9 months ago
On Using SVM and Kolmogorov Complexity for Spam Filtering
As a side effect of e-marketing strategy the number of spam e-mails is rocketing, the time and cost needed to deal with spam as well. Spam filtering is one of the most difficult t...
Sihem Belabbes, Gilles Richard
IJCNLP
2005
Springer
14 years 26 days 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
COLING
2002
13 years 7 months ago
Automatic Text Categorization using the Importance of Sentences
Automatic text categorization is a problem of automatically assigning text documents to predefined categories. In order to classify text documents, we must extract good features f...
Youngjoong Ko, Jinwoo Park, Jungyun Seo
SAC
2004
ACM
14 years 24 days ago
An optimized approach for KNN text categorization using P-trees
The importance of text mining stems from the availability of huge volumes of text databases holding a wealth of valuable information that needs to be mined. Text categorization is...
Imad Rahal, William Perrizo