Package: text2vec
Type: Package
Version: 0.3.0
Date: 2016-03-31
Title: Fast Text Mining Framework for Vectorization and Word Embeddings
License: MIT + file LICENSE
Description: Very fast and memory-friendly tools for text vectorization and
    state-of-the-art word embeddings (GloVe). This package provides a
    source-agnostic streaming API, which allows researchers to perform analysis
    of collections of documents which are much 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), iterators (>= 1.0.8), foreach(>= 1.4.3),
        data.table(>= 1.9.6), stringr (>= 1.0.0), magrittr (>= 1.5)
LinkingTo: Rcpp, RcppParallel, digest
Suggests: testthat, knitr, rmarkdown, glmnet, parallel
URL: https://github.com/dselivanov/text2vec
BugReports: https://github.com/dselivanov/text2vec/issues
VignetteBuilder: knitr
LazyData: true
RoxygenNote: 5.0.1
NeedsCompilation: yes
Packaged: 2016-03-31 18:58:07 UTC; dmitryselivanov
Author: Dmitriy Selivanov [aut, cre],
  Lincoln Mullen [ctb]
Repository: CRAN
Date/Publication: 2016-03-31 21:12:51
