textproc/p5-Search-VectorSpace 0.02_15 DragonFly

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.