Tools for Statistical Content Analysis R package tosca version 0.3-4 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>. Software 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) Lars Koppers <koppers@statistik.tu-dortmund.de> Comprehensive R Archive Network (CRAN) Lars Koppers [aut, cre] (ORCID: <https://orcid.org/0000-0002-1642-9616>), Jonas Rieger [aut] (ORCID: <https://orcid.org/0000-0002-0007-4478>), Karin Boczek [ctb] (ORCID: <https://orcid.org/0000-0003-1516-4094>), Gerret von Nordheim [ctb] (ORCID: <https://orcid.org/0000-0001-7553-3838>) GPL (>= 2) 2025-04-22 application/tgz https://CRAN.R-project.org/package=tosca doi:10.32614/CRAN.package.tosca