Modern Text Mining Framework for R R package text2vec version 0.6.6 CRAN Task View: NaturalLanguageProcessing (https://CRAN.R-project.org/view=NaturalLanguageProcessing) 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. Software Depends: R (>= 3.6.0), methods Imports: Matrix (>= 1.5-2), Rcpp (>= 1.0.3), R6 (>= 2.3.0), data.table(>= 1.9.6), rsparse (>= 0.3.3.4), stringi (>= 1.1.5), mlapi (>= 0.1.0), lgr (>= 0.2), digest (>= 0.6.8) LinkingTo: Rcpp, digest (>= 0.6.8) Suggests: magrittr, udpipe (>= 0.6), glmnet, testthat, covr, knitr, rmarkdown, proxy, LDAvis Dmitriy Selivanov <selivanov.dmitriy@gmail.com> Comprehensive R Archive Network (CRAN) Dmitriy Selivanov [aut, cre, cph], Manuel Bickel [aut, cph] (Coherence measures for topic models), Qing Wang [aut, cph] (Author of the WaprLDA C++ code) GPL (>= 2) file LICENSE (https://CRAN.R-project.org/package=text2vec/LICENSE) 2025-12-01 application/tgz https://CRAN.R-project.org/package=text2vec doi:10.32614/CRAN.package.text2vec