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» A novel feature selection algorithm for text categorization
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NAACL
2003
13 years 10 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 3 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...
ACL
2007
13 years 10 months ago
A Feature Based Approach to Leveraging Context for Classifying Newsgroup Style Discussion Segments
On a multi-dimensional text categorization task, we compare the effectiveness of a feature based approach with the use of a stateof-the-art sequential learning technique that has ...
Yi-Chia Wang, Mahesh Joshi, Carolyn Penstein Ros&e...
ICML
2005
IEEE
14 years 9 months ago
Generalized LARS as an effective feature selection tool for text classification with SVMs
In this paper we generalize the LARS feature selection method to the linear SVM model, derive an efficient algorithm for it, and empirically demonstrate its usefulness as a featur...
S. Sathiya Keerthi
COMPSAC
2005
IEEE
14 years 2 months 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...