{
  "_id": "6a36625b3efcd9bda44062a1",
  "Package": "mallet",
  "Type": "Package",
  "Title": "An R Wrapper for the Java Mallet Topic Modeling Toolkit",
  "Version": "1.3.1",
  "Date": "2022-07-21",
  "Authors@R": "c(\nperson(\"Måns\", \"Magnusson\", email = \"mons.magnusson@gmail.com\", role = c(\"cre\", \"aut\"),\ncomment = c(ORCID = \"0000-0002-0296-2719\")),\nperson(\"David\", \"Mimno\", role = c(\"aut\", \"cph\"),\ncomment = c(ORCID = \"0000-0001-7510-9404\"))\n)",
  "Maintainer": "Måns Magnusson <mons.magnusson@gmail.com>",
  "Description": "An R interface for the Java Machine Learning for Language\nToolkit (mallet) <https://mimno.github.io/Mallet/> to estimate\nprobabilistic topic models, such as Latent Dirichlet\nAllocation. We can use the R package to read textual data into\n'mallet' from R objects, run the Java implementation of\n'mallet' directly in R, and extract results as R objects. The\n'mallet' toolkit has many functions, this wrapper focuses on\nthe topic modeling sub-package written by David Mimno. The\npackage uses the 'rJava' package to connect to a Java Virtual\nMachine (JVM).",
  "License": "MIT + file LICENSE",
  "URL": "https://github.com/mimno/RMallet",
  "BugReports": "https://github.com/mimno/RMallet/issues",
  "SystemRequirements": "java",
  "Encoding": "UTF-8",
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  "LazyData": "TRUE",
  "Config/pak/sysreqs": "make default-jdk",
  "Repository": "https://mimno.r-universe.dev",
  "Date/Publication": "2022-07-21 05:41:28 UTC",
  "RemoteUrl": "https://github.com/mimno/rmallet",
  "RemoteRef": "HEAD",
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  "NeedsCompilation": "no",
  "Packaged": {
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    "User": "root"
  },
  "Author": "Måns Magnusson [cre, aut] (ORCID:\n<https://orcid.org/0000-0002-0296-2719>),\nDavid Mimno [aut, cph] (ORCID: <https://orcid.org/0000-0001-7510-9404>)",
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  "_published": "2026-06-20T09:50:19.221Z",
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    "author": "Måns Magnusson <mons.magnusson@gmail.com>",
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    "email": "mons.magnusson@gmail.com",
    "login": "mansmeg",
    "description": "",
    "uuid": 2458198,
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  "_dependencies": [
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      "package": "R",
      "version": ">= 3.6.3",
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      "package": "rJava",
      "role": "Imports"
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    {
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  "_owner": "mimno",
  "_selfowned": true,
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  "_tags": [],
  "_stars": 39,
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    "followers": 260
  },
  "_downloads": {
    "count": 4538,
    "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/mallet"
  },
  "_mentions": 2,
  "_devurl": "https://github.com/mimno/rmallet",
  "_searchresults": 170,
  "_topics": [
    "openjdk"
  ],
  "_rbuild": "4.6.0",
  "_assets": [
    "extra/citation.cff",
    "extra/citation.html",
    "extra/citation.json",
    "extra/citation.txt",
    "extra/contents.json",
    "extra/mallet.html",
    "extra/readme.html",
    "extra/readme.md",
    "LICENSE",
    "manual.pdf"
  ],
  "_homeurl": "https://github.com/mimno/rmallet",
  "_realowner": "mimno",
  "_cranurl": true,
  "_releases": [
    {
      "version": "1.0",
      "date": "2013-08-09"
    },
    {
      "version": "1.3.0",
      "date": "2022-07-20"
    }
  ],
  "_exports": [
    "load.mallet.instances",
    "load.mallet.state",
    "mallet_jar",
    "mallet_stoplist_file_path",
    "mallet_supported_stoplists",
    "mallet.doc.topics",
    "mallet.import",
    "mallet.jar",
    "mallet.read.dir",
    "mallet.stoplist.file.path",
    "mallet.subset.topic.words",
    "mallet.supported.stoplists",
    "mallet.top.words",
    "mallet.topic.hclust",
    "mallet.topic.labels",
    "mallet.topic.model.load",
    "mallet.topic.model.read",
    "mallet.topic.model.save",
    "mallet.topic.model.write",
    "mallet.topic.words",
    "mallet.word.freqs",
    "MalletLDA",
    "save.mallet.instances",
    "save.mallet.state"
  ],
  "_datasets": [
    {
      "name": "sotu",
      "title": "State of the Union Adresses.",
      "object": "sotu",
      "class": [
        "data.frame"
      ],
      "fields": [
        "year",
        "paragraph",
        "text"
      ],
      "rows": 6816,
      "table": true,
      "tojson": true
    }
  ],
  "_help": [
    {
      "page": "mallet-package",
      "title": "An R Wrapper for the Java Mallet Topic Modeling Toolkit",
      "topics": [
        "mallet-package"
      ]
    },
    {
      "page": "load.mallet.state",
      "title": "Load a Mallet state into Mallet",
      "topics": [
        "load.mallet.state"
      ]
    },
    {
      "page": "mallet_jar",
      "title": "Return the mallet jar filename(s)",
      "topics": [
        "mallet.jar",
        "mallet_jar"
      ]
    },
    {
      "page": "mallet_stoplist_file_path",
      "title": "Return the file path to the mallet stoplists",
      "topics": [
        "mallet.stoplist.file.path",
        "mallet_stoplist_file_path"
      ]
    },
    {
      "page": "mallet_supported_stoplists",
      "title": "Mallet supported stoplists",
      "topics": [
        "mallet.supported.stoplists",
        "mallet_supported_stoplists"
      ]
    },
    {
      "page": "mallet.doc.topics",
      "title": "Retrieve a matrix of topic weights for every document",
      "topics": [
        "mallet.doc.topics"
      ]
    },
    {
      "page": "mallet.import",
      "title": "Import text documents into Mallet format",
      "topics": [
        "mallet.import"
      ]
    },
    {
      "page": "mallet.read.dir",
      "title": "Import documents from a directory into Mallet format",
      "topics": [
        "mallet.read.dir"
      ]
    },
    {
      "page": "mallet.subset.topic.words",
      "title": "Estimate topic-word distributions from a sub-corpus",
      "topics": [
        "mallet.subset.topic.words"
      ]
    },
    {
      "page": "mallet.top.words",
      "title": "Get the most probable words and their probabilities for one topic",
      "topics": [
        "mallet.top.words"
      ]
    },
    {
      "page": "mallet.topic.hclust",
      "title": "Return a hierarchical clustering of topics",
      "topics": [
        "mallet.topic.hclust"
      ]
    },
    {
      "page": "mallet.topic.labels",
      "title": "Get strings containing the most probable words for each topic",
      "topics": [
        "mallet.topic.labels"
      ]
    },
    {
      "page": "mallet.topic.model.read",
      "title": "Load (read) and save (write) a topic from a file",
      "topics": [
        "mallet.topic.model.load",
        "mallet.topic.model.read",
        "mallet.topic.model.save",
        "mallet.topic.model.write"
      ]
    },
    {
      "page": "mallet.topic.words",
      "title": "Retrieve a matrix of words weights for topics",
      "topics": [
        "mallet.topic.words"
      ]
    },
    {
      "page": "mallet.word.freqs",
      "title": "Descriptive statistics of word frequencies",
      "topics": [
        "mallet.word.freqs"
      ]
    },
    {
      "page": "MalletLDA",
      "title": "Create a Mallet topic model trainer",
      "topics": [
        "MalletLDA"
      ]
    },
    {
      "page": "save.mallet.instances",
      "title": "Load and save mallet instances from/to file",
      "topics": [
        "load.mallet.instances",
        "save.mallet.instances"
      ]
    },
    {
      "page": "save.mallet.state",
      "title": "Save a Mallet state to file",
      "topics": [
        "save.mallet.state"
      ]
    },
    {
      "page": "sotu",
      "title": "State of the Union Adresses.",
      "topics": [
        "sotu"
      ]
    }
  ],
  "_readme": "https://github.com/mimno/rmallet/raw/HEAD/README.md",
  "_rundeps": [
    "backports",
    "checkmate",
    "rJava"
  ],
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    {
      "shlib": "libjvm",
      "package": "openjdk-21-jre-headless",
      "headers": "openjdk-21-jre-headless",
      "source": "openjdk",
      "version": "21.0.11+10-1~24.04.2",
      "name": "openjdk",
      "homepage": "https://openjdk.java.net/",
      "description": "OpenJDK Java runtime, using Hotspot JIT (headless)"
    }
  ],
  "_vignettes": [
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      "source": "mallet.Rmd",
      "filename": "mallet.html",
      "title": "Introduction to R mallet",
      "author": "David Mimno and Måns Magnusson",
      "engine": "knitr::rmarkdown",
      "headings": [
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        "Usage",
        "Reading data into R",
        "Training topic models",
        "Analysis of a topic model",
        "Save and load topic states",
        "Save and load topic models"
      ],
      "created": "2015-09-25 12:53:06",
      "modified": "2022-07-21 05:12:59",
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