Package: oolong
Title: Create Validation Tests for Automated Content Analysis
Version: 0.4.3
Authors@R: 
    c(person(given = "Chung-hong", family = "Chan", role = c("aut", "cre"), email = "chainsawtiney@gmail.com", comment = c(ORCID = "0000-0002-6232-7530")), person(given = "Marius", family = "Sältzer", role = c("aut"), email = "msaeltze@mail.uni-mannheim.de", comment = c(ORCID = "0000-0002-8604-4666")))
Description: Intended to create standard human-in-the-loop validity tests for typical automated content analysis such as topic modeling and dictionary-based methods. This package offers a standard workflow with functions to prepare, administer and evaluate a human-in-the-loop validity test. This package provides functions for validating topic models using word intrusion, topic intrusion (Chang et al. 2009,  <https://papers.nips.cc/paper/3700-reading-tea-leaves-how-humans-interpret-topic-models>) and word set intrusion (Ying et al. 2021) <doi:10.1017/pan.2021.33> tests. This package also provides functions for generating gold-standard data which are useful for validating dictionary-based methods. The default settings of all generated tests match those suggested in Chang et al. (2009) and Song et al. (2020) <doi:10.1080/10584609.2020.1723752>.
License: LGPL (>= 2.1)
Encoding: UTF-8
URL: https://github.com/chainsawriot/oolong
LazyData: true
Depends: R (>= 3.6)
Imports: keyATM (>= 0.2.2), purrr, tibble, shiny, digest, R6, quanteda
        (>= 3.0.0), irr, ggplot2, cowplot, cli, stats, utils
RoxygenNote: 7.2.3
Suggests: testthat (>= 3.0.2), text2vec (>= 0.6), BTM, dplyr,
        topicmodels, stm, seededlda, covr, stringr, knitr, rmarkdown,
        fs, quanteda.textmodels, shinytest2
BugReports: https://github.com/chainsawriot/oolong/issues
VignetteBuilder: knitr
Config/testthat/edition: 3
NeedsCompilation: no
Packaged: 2023-06-11 14:13:12 UTC; chainsawriot
Author: Chung-hong Chan [aut, cre] (<https://orcid.org/0000-0002-6232-7530>),
  Marius Sältzer [aut] (<https://orcid.org/0000-0002-8604-4666>)
Maintainer: Chung-hong Chan <chainsawtiney@gmail.com>
Repository: CRAN
Date/Publication: 2023-06-11 15:20:02 UTC
