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» Feature selection methods for text classification
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SSPR
2004
Springer
15 years 4 months ago
An MCMC Feature Selection Technique for Characterizing and Classifying Spatial Region Data
We focus on characterizing spatial region data when distinct classes of structural patterns are present. We propose a novel statistical approach based on a supervised framework for...
Despina Kontos, Vasileios Megalooikonomou, Marc J....
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COMPSAC
2005
IEEE
15 years 4 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...
COLING
2000
15 years 7 days ago
Structural Feature Selection For English-Korean Statistical Machine Translation
When aligning texts in very different languages such as Korean and English, structural features beyond word or phrase give useful intbrmation. In this paper, we present a method f...
Seonho Kim, Juntae Yoon, Mansuk Song
SEBD
2008
169views Database» more  SEBD 2008»
15 years 9 days ago
Clustering the Feature Space
Abstract Dino Ienco and Rosa Meo Dipartimento di Informatica, Universit`a di Torino, Italy In this paper we propose and test the use of hierarchical clustering for feature selectio...
Dino Ienco, Rosa Meo
ACL
2009
14 years 8 months ago
The Lie Detector: Explorations in the Automatic Recognition of Deceptive Language
In this paper, we present initial experiments in the recognition of deceptive language. We introduce three data sets of true and lying texts collected for this purpose, and we sho...
Rada Mihalcea, Carlo Strapparava