Package: text2vec
Type: Package
Version: 0.6.4
Title: Modern Text Mining Framework for R
License: GPL (>= 2) | file LICENSE
Description: 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.
Authors@R: c(
    person("Dmitriy", "Selivanov", role = c("aut", "cre", "cph"),
      email = "selivanov.dmitriy@gmail.com"), 
    person("Manuel", "Bickel", role = c("aut", "cph"),
      comment = "Coherence measures for topic models"),
    person("Qing", "Wang", role = c("aut", "cph"),
      comment = "Author of the WaprLDA C++ code"))
Maintainer: Dmitriy Selivanov <selivanov.dmitriy@gmail.com>
Encoding: UTF-8
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, glmnet, testthat, covr, knitr, rmarkdown, proxy
URL: http://text2vec.org
BugReports: https://github.com/dselivanov/text2vec/issues
VignetteBuilder: knitr
LazyData: true
RoxygenNote: 6.1.1
NeedsCompilation: yes
Packaged: 2023-11-09 02:33:27 UTC; dselivanov
Author: Dmitriy Selivanov [aut, cre, cph],
  Manuel Bickel [aut, cph] (Coherence measures for topic models),
  Qing Wang [aut, cph] (Author of the WaprLDA C++ code)
Repository: CRAN
Date/Publication: 2023-11-09 07:10:06 UTC
Built: R 4.5.1; powerpc-apple-darwin10.8.0; 2025-06-28 12:54:28 UTC; unix
