DESCRIPTION

Package: oolong
Title: Create Validation Tests for Automated Content Analysis
Version: 0.6.1
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://gesistsa.github.io/oolong/, https://github.com/gesistsa/oolong
LazyData: true
Depends:
    R (>= 3.5.0)
Imports:
    seededlda,
    purrr,
    tibble,
    shiny,
    digest,
    R6,
    quanteda (>= 3.0.0),
    irr,
    ggplot2,
    cowplot,
    cli,
    stats,
    utils
RoxygenNote: 7.3.1
Suggests:
    keyATM (>= 0.2.2),
    testthat (>= 3.0.2),
    text2vec (>= 0.6),
    BTM,
    dplyr,
    topicmodels,
    stm,
    covr,
    stringr,
    knitr,
    rmarkdown,
    fs,
    quanteda.textmodels,
    shinytest2
BugReports: https://github.com/gesistsa/oolong/issues
VignetteBuilder: knitr
Config/testthat/edition: 3
Config/Needs/website: gesistsa/tsatemplate