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tosca: Tools for Statistical Content Analysis (original) (raw)

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. Sample data for the vignette is included in the toscaData package, which is available on gitHub: <https://github.com/Docma-TU/toscaData>.

Version: 0.3-2
Depends: R (≥ 3.5.0)
Imports: tm (≥ 0.7-5), lda (≥ 1.4.2), quanteda (≥ 1.4.0), lubridate (≥ 1.7.3), htmltools (≥ 0.3.6), RColorBrewer (≥ 1.1-2), stringr (≥ 1.3.1), WikipediR (≥ 1.5.0), data.table (≥ 1.11.4)
Suggests: toscaData, testthat (≥ 2.0.0), knitr (≥ 1.20), devtools (≥ 1.13), rmarkdown (≥ 1.9)
Published: 2021-10-28
DOI: 10.32614/CRAN.package.tosca
Author: Lars Koppers ORCID iD [aut, cre], Jonas Rieger ORCID iD [aut], Karin Boczek ORCID iD [ctb], Gerret von NordheimORCID iD [ctb]
Maintainer: Lars Koppers
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://github.com/Docma-TU/tosca,https://doi.org/10.5281/zenodo.3591068
NeedsCompilation: no
Citation: tosca citation info
CRAN checks: tosca results

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