text2vec: Modern Text Mining Framework for R

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.

Package details

AuthorDmitriy Selivanov [aut, cre, cph], Manuel Bickel [aut, cph] (Coherence measures for topic models), Qing Wang [aut, cph] (Author of the WaprLDA C++ code)
MaintainerDmitriy Selivanov <selivanov.dmitriy@gmail.com>
LicenseGPL (>= 2) | file LICENSE
URL http://text2vec.org
Package repositoryView on CRAN
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text2vec documentation built on March 26, 2020, 7:48 p.m.