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


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Reference manual

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install.packages("tosca")

0.3-1 by Lars Koppers, a month ago


https://github.com/Docma-TU/tosca, https://doi.org/10.5281/zenodo.3591068


Browse source code at https://github.com/cran/tosca


Authors: Lars Koppers [aut, cre] , Jonas Rieger [aut] , Karin Boczek [ctb] , Gerret von Nordheim [ctb]


Documentation:   PDF Manual  


GPL (>= 2) license


Imports tm, lda, quanteda, lubridate, htmltools, RColorBrewer, stringr, WikipediR, data.table

Suggests toscaData, testthat, knitr, devtools, rmarkdown


Suggested by ldaPrototype.


See at CRAN