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Topic-based vector space model
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<p>The Topic-based Vector Space Model (TVSM) (literature: <a href="http://www.logos-verlag.de/cgi-bin/engbuchmid?isbn=0514&lng=eng&id=">[1]</a>) extends the <a href="/facts/Vector_space_model/WC1LqLA5">vector space model</a> of <a href="/facts/Information_retrieval/MFSmpeNw">information retrieval</a> 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 <a href="/facts/Generalized_vector_space_model/y8njGTLz">generalized vector space model</a> the TVSM does not depend on concurrence-based similarities between terms. </p>