README.md
In Docma-TU/tosca: Tools for Statistical Content Analysis
tosca
Tools for Statistical Content Analysis
created at TU Dortmund University.
About
tosca is a framework for statistical methods in content analysis. We offer a pipeline for preprocessing, model text corpora using a link to the implemantation of Latent Dirichlet Allocation from the lda package. Useful plot routines for both - pre- and post-modeled corpora - are given for the descriptive analysis of text corpora and topic models. Moreover, an implementation of Chang's intruder words and intruder topics is provided; as well as reasoned sampling of text ids to get effective sets of texts for human labeling/coding regarding accuracy of estimating Precision and Recall.
Installation
See examples how to use tosca at the Vignette.
Citation
For a BibTeX entry please use citation(package = "tosca").
Contribution
This R package is licensed under the GPLv3.
For wishes, issues, and bugs please use the issue tracker.
Docma-TU/tosca documentation built on June 2, 2025, 3:11 a.m.
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Note that we can't provide technical support on individual packages. You should contact the package authors for that.
tosca
Tools for Statistical Content Analysis created at TU Dortmund University.
About
tosca is a framework for statistical methods in content analysis. We offer a pipeline for preprocessing, model text corpora using a link to the implemantation of Latent Dirichlet Allocation from the lda package. Useful plot routines for both - pre- and post-modeled corpora - are given for the descriptive analysis of text corpora and topic models. Moreover, an implementation of Chang's intruder words and intruder topics is provided; as well as reasoned sampling of text ids to get effective sets of texts for human labeling/coding regarding accuracy of estimating Precision and Recall.
Installation
See examples how to use tosca at the Vignette.
Citation
For a BibTeX entry please use citation(package = "tosca").
Contribution
This R package is licensed under the GPLv3. For wishes, issues, and bugs please use the issue tracker.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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