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» Categorical Proportional Difference: A Feature Selection Met...
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NAACL
2003
13 years 9 months ago
Language and Task Independent Text Categorization with Simple Language Models
We present a simple method for language independent and task independent text categorization learning, based on character-level n-gram language models. Our approach uses simple in...
Fuchun Peng, Dale Schuurmans, Shaojun Wang
PRL
2011
13 years 2 months ago
A sparse version of the ridge logistic regression for large-scale text categorization
The ridge logistic regression has successfully been used in text categorization problems and it has been shown to reach the same performance as the Support Vector Machine but with...
Sujeevan Aseervatham, Anestis Antoniadis, É...
AAAI
1998
13 years 9 months ago
Feature Generation for Sequence Categorization
The problem of sequence categorization is to generalize from a corpus of labeled sequences procedures for accurately labeling future unlabeled sequences. The choice of representat...
Daniel Kudenko, Haym Hirsh
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
AIMSA
2006
Springer
13 years 11 months ago
N-Gram Feature Selection for Authorship Identification
Automatic authorship identification offers a valuable tool for supporting crime investigation and security. It can be seen as a multi-class, single-label text categorization task. ...
John Houvardas, Efstathios Stamatatos