textTinyR: Text Processing for Small or Big Data Files
Version 1.1.1

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.

Package details

AuthorLampros Mouselimis <[email protected]>
Date of publication2018-05-17 16:47:47 UTC
MaintainerLampros Mouselimis <[email protected]>
LicenseGPL-3
Version1.1.1
URL https://github.com/mlampros/textTinyR
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("textTinyR")

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textTinyR documentation built on May 17, 2018, 5:04 p.m.