{
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  "Package": "LDAvis",
  "Title": "Interactive Visualization of Topic Models",
  "Version": "0.3.5",
  "Authors@R": "c(\nperson(\"Carson\", \"Sievert\", role = c(\"aut\", \"cre\"), email = \"cpsievert1@gmail.com\", comment = c(ORCID = \"0000-0002-4958-2844\")),\nperson(\"Kenny\", \"Shirley\", role = \"aut\", email = \"kshirley@research.att.com\"),\nperson(\"Christopher\", \"Baker\", role = \"ctb\", email = \"chriscrewbaker@gmail.com\")\n)",
  "Description": "Tools to create an interactive web-based visualization of\na topic model that has been fit to a corpus of text data using\nLatent Dirichlet Allocation (LDA). Given the estimated\nparameters of the topic model, it computes various summary\nstatistics as input to an interactive visualization built with\n'D3.js' that is accessed via a browser. The goal is to help\nusers interpret the topics in their 'LDA' topic model.",
  "License": "MIT + file LICENSE",
  "LazyData": "true",
  "VignetteBuilder": "knitr",
  "URL": "https://github.com/cpsievert/LDAvis",
  "BugReports": "https://github.com/cpsievert/LDAvis/issues",
  "RoxygenNote": "6.0.1",
  "Repository": "https://cpsievert.r-universe.dev",
  "Date/Publication": "2018-04-25 18:12:59 UTC",
  "RemoteUrl": "https://github.com/cpsievert/ldavis",
  "RemoteRef": "HEAD",
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  "NeedsCompilation": "no",
  "Packaged": {
    "Date": "2026-05-29 09:53:33 UTC",
    "User": "root"
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  "Author": "Carson Sievert [aut, cre] (ORCID:\n<https://orcid.org/0000-0002-4958-2844>),\nKenny Shirley [aut],\nChristopher Baker [ctb]",
  "Maintainer": "Carson Sievert <cpsievert1@gmail.com>",
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  "_type": "src",
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    "twitter": "@cpsievert",
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  "_selfowned": true,
  "_usedby": 0,
  "_updates": [],
  "_tags": [],
  "_topics": [
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    "text-mining",
    "topic-modeling",
    "visualization"
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  "_contributors": [
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    "extra/contents.json",
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  "_realowner": "cpsievert",
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    "jsPCA",
    "renderVis",
    "runShiny",
    "serVis",
    "visOutput"
  ],
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      "name": "TwentyNewsgroups",
      "title": "Twenty Newsgroups Data",
      "object": "TwentyNewsgroups",
      "class": [
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      ],
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      "title": "Create the JSON object to read into the javascript visualization",
      "topics": [
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      ]
    },
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      "title": "Dimension reduction via Jensen-Shannon Divergence & Principal Components",
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    },
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      "title": "LDAvis details",
      "engine": "knitr::knitr",
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      "created": "2014-12-17 16:07:31",
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