Package: text2vec
Type: Package
Version: 0.6.3
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
SystemRequirements: C++11
Depends: R (>= 3.6.0), methods
Imports: Matrix (>= 1.5), 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
URL: http://text2vec.org
BugReports: https://github.com/dselivanov/text2vec/issues
VignetteBuilder: knitr
LazyData: true
RoxygenNote: 7.2.1
NeedsCompilation: yes
Packaged: 2022-11-30 03:33:46 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: 2022-11-30 09:20:02 UTC
Built: R 4.3.1; x86_64-conda-linux-gnu; 2023-11-04 17:38:43 UTC; unix
