Package: text2vec
Type: Package
Version: 0.5.1
Date: 2018-01-10
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("Qing", "Wang", role = c("aut", "cph"),
    email = "selivanov.dmitriy@gmail.com", 
    comment = "Author of the WaprLDA C++ code"))
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),
        irlba (>= 2.2.1), R6 (>= 2.1.2), futile.logger (>= 1.4.3),
        stringi (>= 1.1.5), mlapi (>= 0.1.0)
LinkingTo: Rcpp, RcppParallel, digest, sparsepp (>= 0.2.0)
Suggests: doParallel, testthat, covr, knitr, rmarkdown, glmnet,
        parallel, tokenizers, magrittr
URL: http://text2vec.org
BugReports: https://github.com/dselivanov/text2vec/issues
VignetteBuilder: knitr
LazyData: true
RoxygenNote: 6.0.1
NeedsCompilation: yes
Packaged: 2018-01-11 08:21:10 UTC; dmitry
Author: Dmitriy Selivanov [aut, cre, cph],
  Qing Wang [aut, cph] (Author of the WaprLDA C++ code)
Repository: CRAN
Date/Publication: 2018-01-11 21:57:23 UTC
Built: R 3.4.4; x86_64-w64-mingw32; 2019-04-25 20:32:51 UTC; windows
Archs: i386, x64
