oolong: Create Validation Tests for Automated Content Analysis

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. Forthcoming) 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>.

Version: 0.4.0
Depends: R (≥ 3.5)
Imports: keyATM (≥ 0.2.2), purrr, tibble, shiny, miniUI, text2vec (≥ 0.6), digest, R6, quanteda (≥ 3.0.0), irr, ggplot2, cowplot, dplyr, cli, stats, utils
Suggests: testthat (≥ 3.0.2), BTM, topicmodels, stm, seededlda, covr, stringr, knitr, rmarkdown, fs, quanteda.textmodels, shinytest
Published: 2021-05-31
Author: Chung-hong Chan ORCID iD [aut, cre], Marius Sältzer ORCID iD [aut]
Maintainer: Chung-hong Chan <chainsawtiney at gmail.com>
BugReports: https://github.com/chainsawriot/oolong/issues
License: LGPL-2.1 | LGPL-3 [expanded from: LGPL (≥ 2.1)]
URL: https://github.com/chainsawriot/oolong
NeedsCompilation: no
Citation: oolong citation info
Materials: NEWS
CRAN checks: oolong results

Documentation:

Reference manual: oolong.pdf
Vignettes: BTM
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Package source: oolong_0.4.0.tar.gz
Windows binaries: r-devel: oolong_0.4.0.zip, r-release: oolong_0.4.0.zip, r-oldrel: oolong_0.4.0.zip
macOS binaries: r-release (arm64): oolong_0.4.0.tgz, r-release (x86_64): oolong_0.4.0.tgz, r-oldrel: oolong_0.4.0.tgz
Old sources: oolong archive

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