{
  "_id": "6adb743c58000136b5c82b21",
  "Package": "oolong",
  "Title": "Create Validation Tests for Automated Content Analysis",
  "Version": "0.7.1",
  "Authors@R": "c(person(given = \"Chung-hong\", family = \"Chan\", role = c(\"aut\", \"cre\"), email = \"chainsawtiney@gmail.com\", comment = c(ORCID = \"0000-0002-6232-7530\")),\nperson(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\ntests for typical automated content analysis such as topic\nmodeling and dictionary-based methods. This package offers a\nstandard workflow with functions to prepare, administer and\nevaluate a human-in-the-loop validity test. This package\nprovides functions for validating topic models using word\nintrusion, topic intrusion (Chang et al. 2009,\n<https://papers.nips.cc/paper/3700-reading-tea-leaves-how-humans-interpret-topic-models>)\nand word set intrusion (Ying et al. 2021)\n<doi:10.1017/pan.2021.33> tests. This package also provides\nfunctions for generating gold-standard data which are useful\nfor validating dictionary-based methods. The default settings\nof all generated tests match those suggested in Chang et al.\n(2009) and Song et al. (2020)\n<doi:10.1080/10584609.2020.1723752>.",
  "License": "LGPL (>= 2.1)",
  "Encoding": "UTF-8",
  "URL": "https://gesistsa.github.io/oolong/,\nhttps://github.com/gesistsa/oolong",
  "LazyData": "true",
  "RoxygenNote": "7.3.1",
  "BugReports": "https://github.com/gesistsa/oolong/issues",
  "VignetteBuilder": "knitr",
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  "Config/Needs/website": "gesistsa/tsatemplate",
  "Config/pak/sysreqs": "cmake make libicu-dev libuv1-dev libxml2-dev\nzlib1g-dev",
  "Repository": "https://gesistsa.r-universe.dev",
  "Date/Publication": "2026-10-23 10:38:30 UTC",
  "RemoteUrl": "https://github.com/gesistsa/oolong",
  "RemoteRef": "HEAD",
  "RemoteSha": "784ae34298d13ec9aa48a1f24acc7eae78d56932",
  "NeedsCompilation": "no",
  "Packaged": {
    "Date": "2026-10-23 14:01:18 UTC",
    "User": "root"
  },
  "Author": "Chung-hong Chan [aut, cre] (ORCID:\n<https://orcid.org/0000-0002-6232-7530>),\nMarius Sältzer [aut] (ORCID: <https://orcid.org/0000-0002-8604-4666>)",
  "Maintainer": "Chung-hong Chan <chainsawtiney@gmail.com>",
  "_user": "gesistsa",
  "_type": "src",
  "_file": "oolong_0.7.1.tar.gz",
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  "_expires": "2027-01-31T14:50:33.000Z",
  "_created": "2026-10-23T14:01:18.000Z",
  "_published": "2026-10-23T14:50:35.890Z",
  "_upstream": "https://github.com/gesistsa/oolong",
  "_status": "success",
  "_maintainer": {
    "name": "Chung-hong Chan",
    "email": "chainsawtiney@gmail.com",
    "login": "chainsawriot",
    "orcid": "0000-0002-6232-7530",
    "description": "",
    "uuid": 637269
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    "committer": "chainsawriot <chainsawtiney@gmail.com>",
    "message": "Bump ver. [no ci]\n",
    "time": 1792751910
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      "version": ">= 3.5.0",
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      "role": "Imports"
    },
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      "package": "purrr",
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    },
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      "package": "tibble",
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    },
    {
      "package": "shiny",
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    },
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    },
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    },
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      "package": "icr",
      "role": "Imports"
    },
    {
      "package": "ggplot2",
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      "version": ">= 0.6",
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    },
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    },
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  "_usedby": 0,
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      "n": 2
    },
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  "_tags": [],
  "_topics": [
    "textanalysis",
    "topicmodeling",
    "validation"
  ],
  "_stars": 59,
  "_contributors": [
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      "user": "chainsawriot",
      "count": 273,
      "uuid": 637269
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    "type": "organization",
    "name": "Transparent Social Analytics",
    "followers": 47,
    "description": "Open Science Tools and more maintained by Transparent Social Analytics Team, GESIS"
  },
  "_downloads": {
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    "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/oolong"
  },
  "_devurl": "https://github.com/gesistsa/oolong",
  "_pkgdown": "https://gesistsa.github.io/oolong/",
  "_searchresults": 28,
  "_rbuild": "4.6.1",
  "_assets": [
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    "extra/citation.html",
    "extra/citation.json",
    "extra/citation.txt",
    "extra/contents.json",
    "extra/manual.pdf",
    "extra/NEWS.html",
    "extra/NEWS.txt",
    "extra/oolong.html",
    "extra/readme.html",
    "extra/readme.md"
  ],
  "_homeurl": "https://github.com/gesistsa/oolong",
  "_realowner": "gesistsa",
  "_cranurl": true,
  "_releases": [
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      "date": "2020-03-21"
    },
    {
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      "date": "2020-11-13"
    },
    {
      "version": "0.4.0",
      "date": "2021-05-31"
    },
    {
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      "date": "2021-11-09"
    },
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      "date": "2023-06-11"
    },
    {
      "version": "0.5.0",
      "date": "2023-08-25"
    },
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      "date": "2024-02-10"
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      "date": "2024-04-15"
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    "check_oolong",
    "clone_oolong",
    "create_oolong",
    "deploy_oolong",
    "export_oolong",
    "gs",
    "revert_oolong",
    "summarise_oolong",
    "summarize_oolong",
    "ti",
    "update_oolong",
    "wi",
    "witi",
    "wsi"
  ],
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      "title": "Abstracts of communication journals dataset",
      "object": "abstracts",
      "class": [
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "text"
      ],
      "rows": 2500,
      "table": true,
      "tojson": true
    },
    {
      "name": "abstracts_btm",
      "title": "Topic models trained with the abstracts dataset.",
      "object": "abstracts_btm",
      "class": [
        "BTM"
      ],
      "fields": [],
      "table": false,
      "tojson": false
    },
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      "title": "Abstracts of communication journals dataset",
      "object": "abstracts_dfm",
      "class": [
        "dfm"
      ],
      "fields": [],
      "table": false,
      "tojson": false
    },
    {
      "name": "abstracts_dictionary",
      "title": "Abstracts of communication journals dataset",
      "object": "abstracts_dictionary",
      "class": [
        "list"
      ],
      "fields": [],
      "table": false,
      "tojson": true
    },
    {
      "name": "abstracts_seededlda",
      "title": "Topic models trained with the abstracts dataset.",
      "object": "abstracts_seededlda",
      "class": [
        "textmodel_lda",
        "textmodel",
        "list"
      ],
      "fields": [],
      "table": false,
      "tojson": false
    },
    {
      "name": "afinn",
      "title": "AFINN dictionary",
      "object": "afinn",
      "class": [
        "dictionary2"
      ],
      "fields": [],
      "table": true,
      "tojson": true
    },
    {
      "name": "newsgroup_nb",
      "title": "Naive Bayes model trained on 20 newsgroups data",
      "object": "newsgroup_nb",
      "class": [
        "textmodel_nb",
        "textmodel",
        "list"
      ],
      "fields": [],
      "table": false,
      "tojson": false
    },
    {
      "name": "trump2k",
      "title": "Trump's tweets dataset",
      "object": "trump2k",
      "class": [
        "character"
      ],
      "fields": [],
      "table": false,
      "tojson": true
    }
  ],
  "_help": [
    {
      "page": "abstracts",
      "title": "Abstracts of communication journals dataset",
      "topics": [
        "abstracts",
        "abstracts_dfm",
        "abstracts_dictionary"
      ]
    },
    {
      "page": "abstracts_seededlda",
      "title": "Topic models trained with the abstracts dataset.",
      "topics": [
        "abstracts_btm",
        "abstracts_seededlda"
      ]
    },
    {
      "page": "afinn",
      "title": "AFINN dictionary",
      "topics": [
        "afinn"
      ]
    },
    {
      "page": "check_oolong",
      "title": "Check whether the oolong needs to be updated",
      "topics": [
        "check_oolong"
      ]
    },
    {
      "page": "clone_oolong",
      "title": "Clone an oolong object",
      "topics": [
        "clone_oolong"
      ]
    },
    {
      "page": "create_oolong",
      "title": "Generate an oolong test",
      "topics": [
        "create_oolong",
        "gs",
        "ti",
        "wi",
        "witi",
        "wsi"
      ]
    },
    {
      "page": "deploy_oolong",
      "title": "Deploy an oolong test",
      "topics": [
        "deploy_oolong"
      ]
    },
    {
      "page": "export_oolong",
      "title": "Export a deployable Shiny app from an oolong object into a directory",
      "topics": [
        "export_oolong"
      ]
    },
    {
      "page": "newsgroup_nb",
      "title": "Naive Bayes model trained on 20 newsgroups data",
      "topics": [
        "newsgroup_nb"
      ]
    },
    {
      "page": "print.oolong_gold_standard",
      "title": "Print oolong gold standard object",
      "topics": [
        "print.oolong_gold_standard"
      ]
    },
    {
      "page": "print.oolong_summary",
      "title": "Print and plot oolong summary",
      "topics": [
        "plot.oolong_summary",
        "print.oolong_summary"
      ]
    },
    {
      "page": "revert_oolong",
      "title": "Obtain a locked oolong from a downloaded data file",
      "topics": [
        "revert_oolong"
      ]
    },
    {
      "page": "summarize_oolong",
      "title": "Summarize oolong objects",
      "topics": [
        "summarise_oolong",
        "summarize_oolong"
      ]
    },
    {
      "page": "trump2k",
      "title": "Trump's tweets dataset",
      "topics": [
        "trump2k"
      ]
    },
    {
      "page": "update_oolong",
      "title": "Update an oolong object to the latest version",
      "topics": [
        "update_oolong"
      ]
    }
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  ],
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      "filename": "btm.html",
      "title": "BTM",
      "author": "Chung-hong Chan ^[GESIS]",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Requirement #1: Keep your quanteda corpus",
        "Requirement #2: Keep your data frame",
        "Pecularities of BTM",
        "Oolong's support for BTM"
      ],
      "created": "2020-07-01 16:44:10",
      "modified": "2024-04-12 15:22:31",
      "commits": 5
    },
    {
      "source": "deploy.Rmd",
      "filename": "deploy.html",
      "title": "Deploy",
      "author": "Chung-hong Chan ^[GESIS]",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Create an oolong test",
        "Deploy the test online",
        "Conduct the test",
        "Revert"
      ],
      "created": "2021-05-23 13:02:32",
      "modified": "2026-05-07 10:26:24",
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      "source": "overview.Rmd",
      "filename": "overview.html",
      "title": "Overview",
      "author": "Chung-hong Chan ^[GESIS]",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Installation",
        "Validating Topic Models",
        "Word intrusion test",
        "Word set intrusion test",
        "Topic intrusion test",
        "Suggested workflow",
        "About the p-values",
        "About Biterm Topic Model",
        "About Naive Bayes",
        "Validating Dictionary-based Methods",
        "Creating gold standard",
        "Example: Validating AFINN using the gold standard",
        "Backward compatibility",
        "References"
      ],
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      "modified": "2026-10-19 20:49:09",
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  "_nocasepkg": "oolong",
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