DESCRIPTION

Package: text2vec
Type: Package
Version: 0.2.1
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