oolong: An R package for validating automated content analysis tools

R Submitted 04 July 2020Published 12 November 2020
Review

Editor: @kakiac (all papers)
Reviewers: @pdwaggoner (all reviews), @mbod (all reviews), @Kudusch (all reviews)

Authors

Chung-hong Chan (0000-0002-6232-7530), Marius Sältzer (0000-0002-8604-4666)

Citation

Chan et al., (2020). oolong: An R package for validating automated content analysis tools. Journal of Open Source Software, 5(55), 2461, https://doi.org/10.21105/joss.02461

@article{Chan2020, doi = {10.21105/joss.02461}, url = {https://doi.org/10.21105/joss.02461}, year = {2020}, publisher = {The Open Journal}, volume = {5}, number = {55}, pages = {2461}, author = {Chung-hong Chan and Marius Sältzer}, title = {oolong: An R package for validating automated content analysis tools}, journal = {Journal of Open Source Software} }
Copy citation string · Copy BibTeX  
Tags

text analysis topic model sentiment analysis validation

Altmetrics
Markdown badge

 

License

Authors of JOSS papers retain copyright.

This work is licensed under a Creative Commons Attribution 4.0 International License.

Creative Commons License

Table of Contents
Public user content licensed CC BY 4.0 unless otherwise specified.
ISSN 2475-9066