Suggests: testthat (>= 2.1.0), topicmodels, covr, stringr, knitr,
Author: Chung-hong Chan [aut, cre] (<https://orcid.org/0000-0002-6232-7530>)

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. 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>.
Imports: keyATM (>= 0.2.2), purrr, tibble, shiny, miniUI, text2vec (>=
0.6), digest, R6, quanteda (>= 3.0.0), irr, ggplot2, cowplot,
Suggests: testthat (>= 3.0.2), BTM, topicmodels, stm, seededlda, covr,
stringr, knitr, rmarkdown, fs, quanteda.textmodels, shinytest
Packaged: 2021-05-31 13:30:59 UTC; chainsawriot

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>.
Imports: keyATM (>= 0.2.2), purrr, tibble, shiny, digest, R6, quanteda
(>= 3.0.0), irr, ggplot2, cowplot, cli, stats, utils
Suggests: testthat (>= 3.0.2), text2vec (>= 0.6), BTM, dplyr,
topicmodels, stm, seededlda, covr, stringr, knitr, rmarkdown,
Packaged: 2021-11-09 09:56:50 UTC; chainsawriot