Processes big text data files in batches efficiently. For this purpose, it offers functions for splitting, parsing, tokenizing and creating a vocabulary. Moreover, it includes functions for building either a documentterm matrix or a termdocument matrix and extracting information from those (termassociations, most frequent terms). Lastly, it embodies functions for calculating token statistics (collocations, lookup tables, string dissimilarities) and functions to work with sparse matrices. The source code is based on 'C++11' and exported in R through the 'Rcpp', 'RcppArmadillo' and 'BH' packages.
Package details 


Author  Lampros Mouselimis <[email protected]> 
Date of publication  20180116 19:03:11 UTC 
Maintainer  Lampros Mouselimis <[email protected]> 
License  GPL3 
Version  1.0.9 
URL  https://github.com/mlampros/textTinyR 
Package repository  View on CRAN 
Installation 
Install the latest version of this package by entering the following in R:

Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.