Fast and memory-friendly tools for text vectorization, topic modeling (LDA, LSA), word embeddings (GloVe), similarities. This package provides a source-agnostic streaming API, which allows researchers to perform analysis of collections of documents which are larger than available RAM. All core functions are parallelized to benefit from multicore machines.
|Author||Dmitriy Selivanov [aut, cre], Lincoln Mullen [ctb]|
|Date of publication||2016-10-04 17:48:07|
|Maintainer||Dmitriy Selivanov <email@example.com>|
|License||GPL (>= 2) | file LICENSE|
|Package repository||View on CRAN|
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