DESCRIPTION

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,
    udpipe (>= 0.6),
    glmnet,
    testthat,
    covr,
    knitr,
    rmarkdown,
    proxy,
    LDAvis
URL: http://text2vec.org
BugReports: https://github.com/dselivanov/text2vec/issues
VignetteBuilder: knitr
LazyData: true
RoxygenNote: 6.1.1