R.temis: Integrated Text Mining Solution

An integrated solution to perform a series of text mining tasks such as importing and cleaning a corpus, and analyses like terms and documents counts, lexical summary, terms co-occurrences and documents similarity measures, graphs of terms, correspondence analysis and hierarchical clustering. Corpora can be imported from spreadsheet-like files, directories of raw text files, as well as from 'Dow Jones Factiva', 'LexisNexis', 'Europresse' and 'Alceste' files.

Version: 0.1.2
Depends: tm (≥ 0.6), NLP, slam, FactoMineR, explor
Imports: stats, utils, graphics, testthat, wordcloud, igraph, stringi, crayon, SnowballC, tm.plugin.factiva, tm.plugin.lexisnexis, tm.plugin.europresse, tm.plugin.alceste
Published: 2019-06-17
Author: Milan Bouchet-Valat [aut, cre], Gilles Bastin [aut], Antoine Chollet [aut]
Maintainer: Milan Bouchet-Valat <nalimilan at club.fr>
BugReports: https://github.com/nalimilan/R.TeMiS/issues
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://github.com/nalimilan/R.TeMiS
NeedsCompilation: no
Materials: NEWS
CRAN checks: R.temis results

Downloads:

Reference manual: R.temis.pdf
Package source: R.temis_0.1.2.tar.gz
Windows binaries: r-devel: R.temis_0.1.2.zip, r-release: R.temis_0.1.2.zip, r-oldrel: R.temis_0.1.2.zip
OS X binaries: r-release: R.temis_0.1.2.tgz, r-oldrel: R.temis_0.1.2.tgz
Old sources: R.temis archive

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