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Current File : /usr/ports/textproc/p5-Search-VectorSpace/pkg-descr
This module takes a list of documents (in English) and
builds a simple in-memory search engine using a vector
space model. Documents are stored as PDL objects, and
after the initial indexing phase, the search should be
very fast. This implementation applies a rudimentary
stop list to filter out very common words, and uses a
cosine measure to calculate document similarity.
All documents above a user-configurable similarity
threshold are returned.

Youez - 2016 - github.com/yon3zu
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