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>.
Version: 0.6.1 Depends: R (≥ 3.5.0) Imports: seededlda, purrr, tibble, shiny, digest, R6, quanteda (≥ 3.0.0), irr, ggplot2, cowplot, cli, stats, utils Suggests: keyATM (≥ 0.2.2), testthat (≥ 3.0.2), text2vec (≥ 0.6), BTM, dplyr, topicmodels, stm, covr, stringr, knitr, rmarkdown, fs, quanteda.textmodels, shinytest2 Published: 2024-04-15 DOI: 10.32614/CRAN.package.oolong Author: Chung-hong Chan [aut, cre], Marius Sältzer [aut] Maintainer: Chung-hong Chan <chainsawtiney at gmail.com> BugReports: https://github.com/gesistsa/oolong/issues License: LGPL-2.1 | LGPL-3 [expanded from: LGPL (≥ 2.1)] URL: https://gesistsa.github.io/oolong/, https://github.com/gesistsa/oolong NeedsCompilation: no Citation: oolong citation info Materials: NEWS CRAN checks: oolong resultsRetroSearch is an open source project built by @garambo | Open a GitHub Issue
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