Contextual latent semantic networks used for document classification

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F12%3A00215697" target="_blank" >RIV/68407700:21230/12:00215697 - isvavai.cz</a>
Alternative codes found
RIV/68407700:21240/12:00215697
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Contextual latent semantic networks used for document classification
Original language description
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 overlooksword 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.
Czech name
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Czech description
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Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year
2012
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings of the International Conference on Knowledge Discovery and Information Retrieval
ISBN
978-989-8565-29-7
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
425-430
Publisher name
SciTePress - Science and Technology Publications
Place of publication
Porto
Event location
Barcelona
Event date
Oct 4, 2012
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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