Package: text2vec
Type: Package
Version: 0.2.0
Date: 2016-01-10
Title: Fast and Modern Text Mining Framework - Vectorization and Word
        Embeddings
License: MIT + file LICENSE
Description: Very fast and memory-friendly tools for text vectorization and
    learning word embeddings (GloVe). Also package provides source-agnostic
    streaming API, which allows to perform analysis of collections
    of documents, which are much larger the available RAM.
Authors@R: person("Dmitriy", "Selivanov", role = c("aut", "cre"),
    email = "selivanov.dmitriy@gmail.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), magrittr (>= 1.5), stringr (>= 1.0.0),
        iterators (>= 1.0.8), readr(>= 0.2.2)
LinkingTo: Rcpp, RcppParallel, digest
Suggests: testthat, knitr, rmarkdown, glmnet
URL: https://github.com/dselivanov/text2vec
BugReports: https://github.com/dselivanov/text2vec/issues
VignetteBuilder: knitr
LazyData: true
RoxygenNote: 5.0.1
NeedsCompilation: yes
Packaged: 2016-01-10 17:08:29 UTC; dmitryselivanov
Author: Dmitriy Selivanov [aut, cre]
Repository: CRAN
Date/Publication: 2016-01-10 18:38:23
