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ISI
2007
Springer
14 years 1 months ago
FACT: Fast Algorithm for Categorizing Text
— With the ever-increasing number of digital documents, the ability to automatically classifying those documents both quickly and accurately is becoming more critical and difficu...
Saket S. R. Mengle, Nazli Goharian, Alana Platt
TKDE
2008
111views more  TKDE 2008»
13 years 7 months ago
Text Clustering with Feature Selection by Using Statistical Data
Abstract-- Feature selection is an important method for improving the efficiency and accuracy of text categorization algorithms by removing redundant and irrelevant terms from the ...
Yanjun Li, Congnan Luo, Soon M. Chung
IRAL
2003
ACM
14 years 22 days ago
Feature selection in categorizing procedural expressions
Text categorization, as an essential component of applications for user navigation on the World Wide Web using QuestionAnswering in Japanese, requires more effective features for ...
Mineki Takechi, Takenobu Tokunaga, Yuji Matsumoto,...
CIKM
2006
Springer
13 years 11 months ago
A comparative study on classifying the functions of web page blocks
In this paper, we study the problem of learning block classification models to estimate block functions. We distinguish general models, which are learned across multiple sites, an...
Xiangye Xiao, Qiong Luo, Xing Xie, Wei-Ying Ma
DMIN
2006
114views Data Mining» more  DMIN 2006»
13 years 9 months ago
Towards Using Fewer Features for Text Classification
Abstract-- Text classification or categorization is a conventional classification problem applied to the text domain. In the cases when statistical classification methods are used,...
Yuan Yuan, Tianyang Gu