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.

Package details

AuthorLars 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>)
MaintainerLars Koppers <[email protected]>
LicenseGPL (>= 2)
Version0.2-0
URL https://github.com/Docma-TU/tosca https://doi.org/10.5281/zenodo.3591068
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("tosca")

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tosca documentation built on March 26, 2020, 7:21 p.m.