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» Using WordNet for Text Categorization
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IJCNN
2000
IEEE
15 years 1 months ago
Support Vector Machines Based on a Semantic Kernel for Text Categorization
We propose to solve a text categorization task using a new metric between documents, based on a priori semantic knowledge about words. This metric can be incorporated into the def...
George Siolas, Florence d'Alché-Buc
CICLING
2007
Springer
15 years 3 months ago
Text Categorization for Improved Priors of Word Meaning
Distributions of the senses of words are often highly skewed. This fact is exploited by word sense disambiguation (WSD) systems which back off to the predominant (most frequent) s...
Rob Koeling, Diana McCarthy, John Carroll
CLIN
2004
14 years 11 months ago
Syntactic Contexts for Finding Semantically Related Words
Finding semantically related words is a first step in the direction of automatic ontology building. Guided by the view that similar words occur in similar contexts, we looked at t...
Lonneke van der Plas, Gosse Bouma
SMC
2007
IEEE
100views Control Systems» more  SMC 2007»
15 years 3 months ago
Text categorization based on the ratio of word frequency in each categories
— In the present paper, we consider the automatic text categorization as a series of information processing and propose a new classification technique called the Frequency Ratio ...
Makoto Suzuki, Shigeichi Hirasawa
AUSDM
2006
Springer
137views Data Mining» more  AUSDM 2006»
15 years 1 months ago
A Study of Local and Global Thresholding Techniques in Text Categorization
Feature Filtering is an approach that is widely used for dimensionality reduction in text categorization. In this approach feature scoring methods are used to evaluate features le...
Nayer M. Wanas, Dina A. Said, Nevin M. Darwish, Na...