Package: tosca
Type: Package
Title: Tools for Statistical Content Analysis
Version: 0.1-4
Date: 2019-03-18
Authors@R: c(person("Lars", "Koppers", email="koppers@statistik.tu-dortmund.de", role=c("aut", "cre"), comment = c(ORCID = "0000-0002-1642-9616")),
	     person("Jonas", "Rieger", email="jonas.rieger@tu-dortmund.de", role=c("aut"), comment = c(ORCID = "0000-0002-0007-4478")),
	     person("Karin", "Boczek", email="karin.boczek@tu-dortmund.de", role=c("ctb"), comment = c(ORCID = "0000-0003-1516-4094")),
	     person("Gerret", "von Nordheim", email="gerret.vonnordheim@tu-dortmund.de", role=c("ctb"), comment = c(ORCID = "0000-0001-7553-3838")))
Description: 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.
URL: https://github.com/Docma-TU/tosca
License: GPL (>= 2)
Encoding: UTF-8
Depends: R (>= 3.2.0)
Imports: tm (>= 0.7-3), lda (>= 1.3.2), quanteda (>= 1.1.1), 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)
RoxygenNote: 6.1.1
LazyData: true
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2019-03-18 07:34:50 UTC; lars
Author: Lars Koppers [aut, cre] (<https://orcid.org/0000-0002-1642-9616>),
  Jonas Rieger [aut] (<https://orcid.org/0000-0002-0007-4478>),
  Karin Boczek [ctb] (<https://orcid.org/0000-0003-1516-4094>),
  Gerret von Nordheim [ctb] (<https://orcid.org/0000-0001-7553-3838>)
Maintainer: Lars Koppers <koppers@statistik.tu-dortmund.de>
Repository: CRAN
Date/Publication: 2019-03-18 14:50:03 UTC
Built: R 3.4.4; ; 2019-04-25 21:50:46 UTC; windows
