textTinyR: Text Processing for Small or Big Data Files
Version 1.0.7

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 document-term matrix or a term-document matrix and extracting information from those (term-associations, most frequent terms). Lastly, it embodies functions for calculating token statistics (collocations, look-up 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

AuthorLampros Mouselimis <[email protected]>
Date of publication2017-06-05 15:13:23 UTC
MaintainerLampros Mouselimis <[email protected]>
URL https://github.com/mlampros/textTinyR
Package repositoryView on CRAN
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textTinyR documentation built on June 5, 2017, 5:04 p.m.