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.
| Version: | 1.1.3 |
| 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 |
| Published: | 2019-04-14 |
| Author: | Lampros Mouselimis |
| Maintainer: | Lampros Mouselimis <mouselimislampros at gmail.com> |
| BugReports: | https://github.com/mlampros/textTinyR/issues |
| License: | GPL-3 |
| Copyright: | inst/COPYRIGHTS textTinyR copyright details |
| URL: | https://github.com/mlampros/textTinyR |
| NeedsCompilation: | yes |
| SystemRequirements: | The package requires a C++11 compiler |
| Materials: | README NEWS |
| CRAN checks: | textTinyR results |
| Reference manual: | textTinyR.pdf |
| Vignettes: |
Functionality of the textTinyR package Word vectors - doc2vec - text clustering |
| Package source: | textTinyR_1.1.3.tar.gz |
| Windows binaries: | r-devel: textTinyR_1.1.3.zip, r-release: textTinyR_1.1.3.zip, r-oldrel: textTinyR_1.1.3.zip |
| macOS binaries: | r-release: textTinyR_1.1.3.tgz, r-oldrel: textTinyR_1.1.3.tgz |
| Old sources: | textTinyR archive |
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