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140
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NAACL
2003
15 years 7 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
SAC
2006
ACM
16 years 10 days ago
Exploiting partial decision trees for feature subset selection in e-mail categorization
In this paper we propose PARTfs which adopts a supervised machine learning algorithm, namely partial decision trees, as a method for feature subset selection. In particular, it is...
Helmut Berger, Dieter Merkl, Michael Dittenbach
144
Voted
COMPSAC
2005
IEEE
16 years 2 hour ago
Recovering "Lack of Words" in Text Categorization for Item Banks
PKIP, Patterned Keywords in Phrase, is our feature selection approach to text categorization (TC) for item banks. An item bank is a collection of textual data in which each item c...
Atorn Nuntiyagul, Nick Cercone, Kanlaya Naruedomku...
184
Voted
PRL
2011
15 years 1 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...
159
Voted
ISI
2007
Springer
16 years 15 days 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