tosca: Tools for Statistical Content Analysis

A framework for statistical analysis in content analysis. In addition to a pipeline for preprocessing text corpora and linking to the latent Dirichlet allocation from the 'lda' package, plots are offered for the descriptive analysis of text corpora and topic models. In addition, an implementation of Chang's intruder words and intruder topics is provided.

Version: 0.1-2
Depends: R (≥ 3.2.0)
Imports: tm (≥ 0.7-3), lda (≥ 1.3.2), lubridate (≥ 1.3.3), htmltools (≥ 0.3.6), RColorBrewer (≥ 1.1-2), stringr (≥ 1.3.1), WikipediR (≥ 1.5.0), data.table (≥ 1.11.4)
Suggests: testthat (≥ 2.0.0), knitr (≥ 1.20), devtools (≥ 1.13), rmarkdown (≥ 1.9)
Published: 2018-09-13
Author: Lars Koppers ORCID iD [aut, cre], Jonas Rieger [aut], Karin Boczek ORCID iD [ctb], Gerret von Nordheim ORCID iD [ctb]
Maintainer: Lars Koppers <koppers at statistik.tu-dortmund.de>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://github.com/Docma-TU/tosca
NeedsCompilation: no
CRAN checks: tosca results

Downloads:

Reference manual: tosca.pdf
Vignettes: Vignette tosca
Package source: tosca_0.1-2.tar.gz
Windows binaries: r-devel: tosca_0.1-2.zip, r-release: tosca_0.1-2.zip, r-oldrel: tosca_0.1-2.zip
OS X binaries: r-release: tosca_0.1-2.tgz, r-oldrel: tosca_0.1-2.tgz
Old sources: tosca archive

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