11 lines
512 B
Text
11 lines
512 B
Text
This module takes a list of documents (in English) and
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builds a simple in-memory search engine using a vector
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space model. Documents are stored as PDL objects, and
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after the initial indexing phase, the search should be
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very fast. This implementation applies a rudimentary
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stop list to filter out very common words, and uses a
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cosine measure to calculate document similarity.
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All documents above a user-configurable similarity
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threshold are returned.
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WWW: http://search.cpan.org/dist/Search-VectorSpace/
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