Package: oolong 0.6.1
Chung-hong Chan
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. 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>.
Authors:
oolong_0.6.1.tar.gz
oolong_0.6.1.zip(r-4.5)oolong_0.6.1.zip(r-4.4)oolong_0.6.1.zip(r-4.3)
oolong_0.6.1.tgz(r-4.4-any)oolong_0.6.1.tgz(r-4.3-any)
oolong_0.6.1.tar.gz(r-4.5-noble)oolong_0.6.1.tar.gz(r-4.4-noble)
oolong_0.6.1.tgz(r-4.4-emscripten)oolong_0.6.1.tgz(r-4.3-emscripten)
oolong.pdf |oolong.html✨
oolong/json (API)
NEWS
| # Install 'oolong' in R: |
| install.packages('oolong', repos = c('https://gesistsa.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/gesistsa/oolong/issues
- abstracts - Abstracts of communication journals dataset
- abstracts_btm - Topic models trained with the abstracts dataset.
- abstracts_dfm - Abstracts of communication journals dataset
- abstracts_dictionary - Abstracts of communication journals dataset
- abstracts_seededlda - Topic models trained with the abstracts dataset.
- afinn - AFINN dictionary
- newsgroup_nb - Naive Bayes model trained on 20 newsgroups data
- trump2k - Trump's tweets dataset
textanalysistopicmodelingvalidation
Last updated 1 months agofrom:e336c03bda. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Sep 14 2024 |
| R-4.5-win | OK | Sep 14 2024 |
| R-4.5-linux | OK | Sep 14 2024 |
| R-4.4-win | OK | Sep 14 2024 |
| R-4.4-mac | OK | Sep 14 2024 |
| R-4.3-win | OK | Sep 14 2024 |
| R-4.3-mac | OK | Sep 14 2024 |
Exports:check_oolongclone_oolongcreate_oolongdeploy_oolongexport_oolonggsrevert_oolongsummarise_oolongsummarize_oolongtiupdate_oolongwiwitiwsi
Dependencies:base64encbriobslibcachemcallrclicolorspacecommonmarkcowplotcrayondescdiffobjdigestevaluatefansifarverfastmapfastmatchfontawesomefsggplot2gluegtablehtmltoolshttpuvirrisobandISOcodesjquerylibjsonlitelabelinglaterlatticelifecyclelpSolvemagrittrMASSMatrixmemoisemgcvmimemunsellnlmepillarpkgbuildpkgconfigpkgloadpraiseprocessxpromisesproxyCpspurrrquantedaR6rappdirsRColorBrewerRcppRcppArmadillorematch2rlangrprojrootsassscalesseededldashinySnowballCsourcetoolsstopwordsstringitestthattibbleutf8vctrsviridisLitewaldowithrxml2xtableyaml
BTM
Rendered frombtm.Rmdusingknitr::rmarkdownon Sep 14 2024.Last update: 2024-04-12
Started: 2020-07-01
Deploy
Rendered fromdeploy.Rmdusingknitr::rmarkdownon Sep 14 2024.Last update: 2024-02-09
Started: 2021-05-23
Overview
Rendered fromoverview.Rmdusingknitr::rmarkdownon Sep 14 2024.Last update: 2024-04-12
Started: 2020-02-22
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Abstracts of communication journals dataset | abstracts abstracts_dfm abstracts_dictionary |
| Topic models trained with the abstracts dataset. | abstracts_btm abstracts_seededlda |
| AFINN dictionary | afinn |
| Check whether the oolong needs to be updated | check_oolong |
| Clone an oolong object | clone_oolong |
| Generate an oolong test | create_oolong gs ti wi witi wsi |
| Deploy an oolong test | deploy_oolong |
| Export a deployable Shiny app from an oolong object into a directory | export_oolong |
| Naive Bayes model trained on 20 newsgroups data | newsgroup_nb |
| Print oolong gold standard object | print.oolong_gold_standard |
| Print and plot oolong summary | plot.oolong_summary print.oolong_summary |
| Obtain a locked oolong from a downloaded data file | revert_oolong |
| Summarize oolong objects | summarise_oolong summarize_oolong |
| Trump's tweets dataset | trump2k |
| Update an oolong object to the latest version | update_oolong |
