text2vec (0.5.0)

1 user

Modern Text Mining Framework for R.

http://text2vec.org
http://cran.r-project.org/web/packages/text2vec

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, cph], Qing Wang [aut, cph] (Author of the WaprLDA C++ code)

License: GPL (>= 2) | file LICENSE

Uses: digest, futile.logger, irlba, magrittr, Matrix, R6, Rcpp, RcppParallel, uuid, glmnet, stringr, testthat, doParallel, knitr, rmarkdown, covr
Reverse suggests: lime

Released about 1 month ago.


3 previous versions

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  5.0/5 (1 vote)

Documentation:

  5.0/5 (1 vote)

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Related packages: corpora, gsubfn, kernlab, languageR, lsa, tm, wordnet, zipfR, RWeka, RKEA, openNLP, skmeans, tau, tm.plugin.mail, lda, textcat, topicmodels, tm.plugin.dc, textir, movMF(20 best matches, based on common tags.)


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