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Sixth IEEE International Conference on Data Mining (ICDM'06)
Semantic Kernels for Text Classification Based on Topological Measures of Feature Similarity
Hong Kong
December 18-December 22
ISBN: 0-7695-2701-9
ASCII Text
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Stephan Bloehdorn, Roberto Basili, Marco Cammisa, Alessandro Moschitti, "Semantic Kernels for Text Classification Based on Topological Measures of Feature Similarity," Data Mining, IEEE International Conference on, pp. 808-812, Sixth IEEE International Conference on Data Mining (ICDM'06), 2006.
 
 
BibTex
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@article{ 10.1109/ICDM.2006.141,
author = {Stephan Bloehdorn and Roberto Basili and Marco Cammisa and Alessandro Moschitti},
title = {Semantic Kernels for Text Classification Based on Topological Measures of Feature Similarity},
journal ={Data Mining, IEEE International Conference on},
volume = {0},
year = {2006},
issn = {1550-4786},
pages = {808-812},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICDM.2006.141},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Data Mining, IEEE International Conference on
TI - Semantic Kernels for Text Classification Based on Topological Measures of Feature Similarity
SN - 1550-4786
SP808
EP812
A1 - Stephan Bloehdorn,
A1 - Roberto Basili,
A1 - Marco Cammisa,
A1 - Alessandro Moschitti,
PY - 2006
KW - null
VL - 0
JA - Data Mining, IEEE International Conference on
ER -
 
Stephan Bloehdorn, University of Karlsruhe, Germany
Roberto Basili, University of Rome 'Tor Vergata', Italy
Marco Cammisa, University of Rome 'Tor Vergata', Italy
Alessandro Moschitti, University of Rome 'Tor Vergata', Italy
In this paper we propose a new approach to the design of semantic smoothing kernels for text classification. These kernels implicitly encode a superconcept expansion in a semantic network using well-known measures of term similarity. The experimental evaluation on two different datasets indicates that our approach consistently improves performance in situations of little training data and data sparseness.
Citation:
Stephan Bloehdorn, Roberto Basili, Marco Cammisa, Alessandro Moschitti, "Semantic Kernels for Text Classification Based on Topological Measures of Feature Similarity," icdm, pp.808-812, Sixth IEEE International Conference on Data Mining (ICDM'06), 2006
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