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ICNC
2005
Springer
14 years 6 days ago
An Improved Method of Feature Selection Based on Concept Attributes in Text Classification
The feature selection and weighting are two important parts of automatic text classification. In this paper we give a new method based on concept attributes. We use the DEF Terms o...
Shasha Liao, Minghu Jiang
CSJM
2006
124views more  CSJM 2006»
13 years 6 months ago
Text Classification Using Word-Based PPM Models
Text classification is one of the most actual among the natural language processing problems. In this paper the application of word-based PPM (Prediction by Partial Matching) mode...
Victoria Bobicev
FLAIRS
2006
13 years 8 months ago
Evaluating WordNet Features in Text Classification Models
Incorporating semantic features from the WordNet lexical database is among one of the many approaches that have been tried to improve the predictive performance of text classifica...
Trevor N. Mansuy, Robert J. Hilderman
KDD
2002
ACM
170views Data Mining» more  KDD 2002»
14 years 7 months ago
Enhanced word clustering for hierarchical text classification
In this paper we propose a new information-theoretic divisive algorithm for word clustering applied to text classification. In previous work, such "distributional clustering&...
Inderjit S. Dhillon, Subramanyam Mallela, Rahul Ku...
ICML
1999
IEEE
13 years 11 months ago
Feature Engineering for Text Classification
Most research in text classification to date has used a “bag of words” representation in which each feature corresponds to a single word. This paper examines some alternative ...
Sam Scott, Stan Matwin