text2vec (0.4.0)

1 user

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.

Maintainer: Dmitriy Selivanov
Author(s): Dmitriy Selivanov [aut, cre], Lincoln Mullen [ctb]

License: GPL (>= 2) | file LICENSE

Uses: digest, irlba, magrittr, Matrix, R6, Rcpp, RcppParallel, glmnet, stringr, testthat, knitr, rmarkdown, covr

Released 10 months ago.

2 previous versions



  5.0/5 (1 vote)


  5.0/5 (1 vote)

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