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Topic-based vector space model: Difference between revisions

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In automatic information filtering, the '''topic-based vector space model (TVSM)''' extends the [[vector space model]] by removing the constraint that the term-vectors must be orthogonal. In contrast to the [[generalized vector space model]] the topic-based vector space model does not depend on cooccurence-based similarities between terms.
In automatic information filteringand [[information retrieval]], the '''topic-based vector space model (TVSM)''' extends the [[vector space model]] by removing the constraint that the term-vectors must be [[orthogonal]]. In contrast to the [[generalized vector space model]] the topic-based vector space model does not depend on conccurence-based similarities between terms.


==External links==
==External links==

Revision as of 17:52, 10 June 2005

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In automatic information filteringand information retrieval, the topic-based vector space model (TVSM) extends the vector space model by removing the constraint that the term-vectors must be orthogonal. In contrast to the generalized vector space model the topic-based vector space model does not depend on conccurence-based similarities between terms.