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» Text classification using multi-word features
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COLING
2002
13 years 7 months ago
Text Categorization using Feature Projections
This paper proposes a new approach for text categorization, based on a feature projection technique. In our approach, training data are represented as the projections of training ...
Youngjoong Ko, Jungyun Seo
SIGIR
2002
ACM
13 years 7 months ago
Automatic classification in product catalogs
In this paper, we present the AutoCat system for product classification. AutoCat uses a vector space model, modified to consider product attributes unavailable in traditional docu...
Ben Wolin
ICML
2005
IEEE
14 years 8 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
KDD
2004
ACM
160views Data Mining» more  KDD 2004»
14 years 8 months ago
Boosting for Text Classification with Semantic Features
Abstract. Current text classification systems typically use term stems for representing document content. Semantic Web technologies allow the usage of features on a higher semantic...
Stephan Bloehdorn, Andreas Hotho