Package: textTinyR
Type: Package
Title: Text Processing for Small or Big Data Files
Version: 1.1.3
Date: 2019-04-14
Author: Lampros Mouselimis <mouselimislampros@gmail.com>
Maintainer: Lampros Mouselimis <mouselimislampros@gmail.com>
BugReports: https://github.com/mlampros/textTinyR/issues
URL: https://github.com/mlampros/textTinyR
Description: It offers functions for splitting, parsing, tokenizing and creating a vocabulary for big text data files. Moreover, it includes functions for building a document-term matrix and extracting information from those (term-associations, most frequent terms). It also embodies functions for calculating token statistics (collocations, look-up tables, string dissimilarities) and functions to work with sparse matrices. Lastly, it includes functions for Word Vector Representations (i.e. 'GloVe', 'fasttext') and incorporates functions for the calculation of (pairwise) text document dissimilarities. The source code is based on 'C++11' and exported in R through the 'Rcpp', 'RcppArmadillo' and 'BH' packages.
License: GPL-3
Copyright: inst/COPYRIGHTS
SystemRequirements: The package requires a C++11 compiler
Encoding: UTF-8
LazyData: TRUE
Depends: R(>= 3.2.3), Matrix
Imports: Rcpp (>= 0.12.10), R6, data.table, utils
LinkingTo: Rcpp, RcppArmadillo (>= 0.7.8), BH
Suggests: testthat, covr, knitr, rmarkdown
VignetteBuilder: knitr
RoxygenNote: 6.1.0
NeedsCompilation: yes
Packaged: 2019-04-14 10:24:03 UTC; lampros
Repository: CRAN
Date/Publication: 2019-04-14 11:42:42 UTC
Built: R 3.6.1; x86_64-w64-mingw32; 2019-12-11 19:40:49 UTC; windows
Archs: x64
