Package: text2vec
Type: Package
Version: 0.4.0
Date: 2016-10-04
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"),
    email = "selivanov.dmitriy@gmail.com"),
    person("Lincoln", "Mullen", role = c("ctb"),
    email = "lincoln@lincolnmullen.com"))
Maintainer: Dmitriy Selivanov <selivanov.dmitriy@gmail.com>
Encoding: UTF-8
SystemRequirements: GNU make, C++11
Depends: R (>= 3.2.0), methods
Imports: Matrix (>= 1.1), Rcpp (>= 0.11), RcppParallel (>= 4.3.14),
        digest (>= 0.6.8), foreach(>= 1.4.3), data.table(>= 1.9.6),
        magrittr (>= 1.5), irlba (>= 2.1.2), R6 (>= 2.1.2)
LinkingTo: Rcpp, RcppParallel, digest
Suggests: stringr (>= 1.1.0), testthat, covr, knitr, rmarkdown, glmnet,
        parallel
URL: http://text2vec.org
BugReports: https://github.com/dselivanov/text2vec/issues
VignetteBuilder: knitr
LazyData: true
RoxygenNote: 5.0.1
NeedsCompilation: yes
Packaged: 2016-10-04 13:57:08 UTC; dymitriyselivanov
Author: Dmitriy Selivanov [aut, cre],
  Lincoln Mullen [ctb]
Repository: CRAN
Date/Publication: 2016-10-04 17:48:07
Built: R 3.3.2; x86_64-w64-mingw32; 2016-12-02 04:03:58 UTC; windows
Archs: i386, x64
