Contextual Latent Semantic Networks used for Document Classification

Ondrej Hava, Miroslav Skrbek, Pavel Kordik

2012

Abstract

Widely used document classifiers are developed over a bag-of-words representation of documents. Latent semantic analysis based on singular value decomposition is often employed to reduce the dimensionality of such representation. This approach overlooks word order in a text that can improve the quality of classifier. We propose language independent method that records the context of particular word into a context network utilizing products of latent semantic analysis. Words' contexts networks are combined to one network that represents a document. A new document is classified based on a similarity between its network and training documents networks. The experiments show that proposed classifier achieves better performance than common classifiers especially when a foregoing reduction of dimensionality is significant.

Paper Citation

in Harvard Style

Hava O., Skrbek M. and Kordik P. (2012). Contextual Latent Semantic Networks used for Document Classification . In Proceedings of the International Conference on Knowledge Discovery and Information Retrieval - Volume 1: SSTM, (IC3K 2012) ISBN 978-989-8565-29-7, pages 425-430. DOI: 10.5220/0004109304250430

in Bibtex Style

@conference{sstm12,
author={Ondrej Hava and Miroslav Skrbek and Pavel Kordik},
title={Contextual Latent Semantic Networks used for Document Classification},
booktitle={Proceedings of the International Conference on Knowledge Discovery and Information Retrieval - Volume 1: SSTM, (IC3K 2012)},
year={2012},
pages={425-430},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004109304250430},
isbn={978-989-8565-29-7},
}

in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Knowledge Discovery and Information Retrieval - Volume 1: SSTM, (IC3K 2012)
TI - Contextual Latent Semantic Networks used for Document Classification
SN - 978-989-8565-29-7
AU - Hava O.
AU - Skrbek M.
AU - Kordik P.
PY - 2012
SP - 425
EP - 430
DO - 10.5220/0004109304250430