Nothing
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
Browse package contents
Package details |
|
|---|---|
| Author | Lars 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>) |
| Maintainer | Lars Koppers <koppers@statistik.tu-dortmund.de> |
| License | GPL (>= 2) |
| Version | 0.3-2 |
| URL | https://github.com/Docma-TU/tosca https://doi.org/10.5281/zenodo.3591068 |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
|
Try the tosca package in your browser
Any scripts or data that you put into this service are public.
