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

Getting started

Package details

Maintainer
LicenseGPL (>= 2)
Version0.3-4
URL https://github.com/Docma-TU/tosca https://doi.org/10.5281/zenodo.3591068
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("Docma-TU/tosca")
Docma-TU/tosca documentation built on June 2, 2025, 3:11 a.m.