Topic-based vector space model

The Topic-based Vector Space Model (TVSM) (literature: [1]) extends the vector space model of information retrieval by removing the constraint that the term-vectors be orthogonal. The assumption of orthogonal terms is incorrect regarding natural languages which causes problems with synonyms and strong related terms. This facilitates the use of stopword lists, stemming and thesaurus in TVSM.In contrast to the generalized vector space model the TVSM does not depend on concurrence-based similarities between terms.

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enThe Topic-based Vector Space Model (TVSM) (literature: [1]) extends the vector space model of information retrieval by removing the constraint that the term-vectors be orthogonal. The assumption of orthogonal terms is incorrect regarding natural languages which causes problems with synonyms and strong related terms. This facilitates the use of stopword lists, stemming and thesaurus in TVSM.In contrast to the generalized vector space model the TVSM does not depend on concurrence-based similarities between terms.
Has abstract
enThe Topic-based Vector Space Model (TVSM) (literature: [1]) extends the vector space model of information retrieval by removing the constraint that the term-vectors be orthogonal. The assumption of orthogonal terms is incorrect regarding natural languages which causes problems with synonyms and strong related terms. This facilitates the use of stopword lists, stemming and thesaurus in TVSM.In contrast to the generalized vector space model the TVSM does not depend on concurrence-based similarities between terms.
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Topic-based vector space model
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enTopic-based vector space model
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www.logos-verlag.de/cgi-bin/engbuchmid%3Fisbn=0514&lng=eng&id=
sourceforge.net/projects/etvsm/
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Category:Vector space model
Generalized vector space model
Information retrieval
Ontology (information science)
Vector space model
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Category:Vector space model
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