DESCRIPTION

Package: text2vec
Type: Package
Version: 0.5.1
Date: 2017-10-18
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),
    magrittr (>= 1.5),
    irlba (>= 2.2.1),
    R6 (>= 2.1.2), 
    uuid (>= 0.1-2), 
    futile.logger (>= 1.4.3), 
    stringi (>= 1.1.5), 
    tokenizers (>= 0.1.4), 
    mlapi
Remotes:
    dselivanov/mlapi
LinkingTo: Rcpp,
    RcppParallel,
    digest,
    sparsepp (>= 0.2.0)
Suggests:
    doParallel,
    testthat,
    covr,
    knitr,
    rmarkdown,
    glmnet,
    parallel
URL: http://text2vec.org
BugReports: https://github.com/dselivanov/text2vec/issues
VignetteBuilder: knitr
LazyData: true
RoxygenNote: 6.0.1