Document-term matrix: Difference between revisions

Revision as of 12:40, 12 December 2020

Revision as of 13:17, 12 December 2020

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* [http://nlp.fi.muni.cz/projekty/gensim Gensim]: Open source Python framework for Vector Space modelling. Contains memory-efficient algorithms for constructing term-document matrices from text plus common transformations ([[tf-idf]], [[Latent semantic analysis|LSA]], [[Latent Dirichlet allocation|LDA]]).

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[[Category:Natural language processing]]

== References ==

{{Reflist}}

{{Compu-AI-stub}}