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textTinyR  

Text Processing for Small or Big Data Files
View on CRAN: Click here


Download and install textTinyR package within the R console
Install from CRAN:
install.packages("textTinyR")

Install from Github:
library("remotes")
install_github("cran/textTinyR")

Install by package version:
library("remotes")
install_version("textTinyR", "1.1.8")



Attach the package and use:
library("textTinyR")
Maintained by
Lampros Mouselimis
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-01-07
Latest Update: 2023-12-04
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.
How to cite:
Lampros Mouselimis (2017). textTinyR: Text Processing for Small or Big Data Files. R package version 1.1.8, https://cran.r-project.org/web/packages/textTinyR. Accessed 27 Jan. 2025.
Previous versions and publish date:
1.0.0 (2017-01-07 19:56), 1.0.1 (2017-01-11 00:36), 1.0.2 (2017-01-20 11:16), 1.0.3 (2017-01-29 16:43), 1.0.4 (2017-03-28 08:11), 1.0.5 (2017-04-01 23:21), 1.0.6 (2017-05-03 18:20), 1.0.7 (2017-06-05 17:13), 1.0.8 (2017-10-31 22:11), 1.0.9 (2018-01-16 20:03), 1.1.0 (2018-04-03 20:20), 1.1.1 (2018-05-17 18:47), 1.1.2 (2018-07-25 09:30), 1.1.3 (2019-04-14 13:42), 1.1.4 (2021-05-05 20:10), 1.1.5 (2021-10-13 10:40), 1.1.6 (2021-10-21 08:00), 1.1.7 (2021-10-26 06:40)
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