Package: oolong
Title: Create Validation Tests for Automated Content Analysis
Version: 0.3.11
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 and Topic intrusion tests, as described in Chang et al. (2009) <https://papers.nips.cc/paper/3700-reading-tea-leaves-how-humans-interpret-topic-models>. 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 (>= 3.5)
Imports: stm, purrr, tibble, shiny, miniUI, text2vec (>= 0.6), digest,
        R6, quanteda, irr, ggplot2, cowplot, dplyr, stats, utils
RoxygenNote: 7.1.1
Suggests: testthat (>= 2.1.0), BTM, topicmodels, keyATM (>= 0.2.2),
        covr, stringr, knitr, rmarkdown
BugReports: https://github.com/chainsawriot/oolong/issues
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2020-11-13 13:46:30 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: 2020-11-13 14:10:02 UTC
Built: R 3.6.3; ; 2021-05-12 23:33:37 UTC; windows
