{
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  "Type": "Package",
  "Package": "finnsurveytext",
  "Title": "Analyse Open-Ended Survey Responses in Finnish",
  "Version": "2.1.1",
  "Authors@R": "c(\nperson(\"Adeline\", \"Clarke\", , email = \"adelinepclarke@gmail.com\", role = c(\"cre\", \"aut\")),\nperson(\"Krista\", \"Lagus\", email = \"krista.lagus@helsinki.fi\", role = \"aut\"),\nperson(\"Katja\", \"Laine\", role = \"aut\"),\nperson(\"Maria\", \"Litova\", role = \"aut\"),\nperson(\"Matti\", \"Nelimarkka\", , email = \"matti.nelimarkka@helsinki.fi\", role = \"aut\"),\nperson(\"Joni\", \"Oksanen\", , email = \"joni.oksanen@helsinki.fi\", role = \"aut\"),\nperson(\"Jaakko\", \"Peltonen\", role = \"aut\"),\nperson(\"Tuukka\", \"Oikarinen\", role = \"aut\"),\nperson(\"Jani-Matti\", \"Tirkkonen\", role = \"aut\"),\nperson(\"Ida\", \"Toivanen\", role = \"aut\"),\nperson(\"Maria\", \"Valaste\", , email = \"maria.valaste@helsinki.fi\", role = \"aut\"),\nperson(\"Shannon Emilia\", \"Carson\", role = \"ctb\"),\nperson(\"Sirpa\", \"Lappalainen\", role = \"ctb\"),\nperson(\"Tuukka\", \"Puonti\", role = \"ctb\"),\nperson(\"Kimmo\", \"Vehkalahti\", role = \"ctb\"),\nperson(\"DARIAH-FI\", role = c(\"cph\", \"fnd\"))\n)",
  "Description": "Annotates Finnish textual survey responses into CoNLL-U\nformat using Finnish treebanks from\n<https://universaldependencies.org/format.html> using UDPipe as\ndescribed in Straka and Straková (2017)\n<doi:10.18653/v1/K17-3009>. Formatted data is then analysed\nusing single or comparison n-gram plots, wordclouds, summary\ntables and Concept Network plots. The Concept Network plots use\nthe TextRank algorithm as outlined in Mihalcea, Rada & Tarau,\nPaul (2004) <https://aclanthology.org/W04-3252/>.",
  "License": "MIT + file LICENSE",
  "VignetteBuilder": "knitr",
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  "RoxygenNote": "7.3.2",
  "URL": "https://dariah-fi-survey-concept-network.github.io/finnsurveytext/,\nhttps://github.com/DARIAH-FI-Survey-Concept-Network/finnsurveytext",
  "BugReports": "https://github.com/DARIAH-FI-Survey-Concept-Network/finnsurveytext/issues",
  "Config/pak/sysreqs": "cmake libfontconfig1-dev libfreetype6-dev\nlibglpk-dev make libicu-dev libxml2-dev",
  "Repository": "https://dariah-fi-survey-concept-network.r-universe.dev",
  "Date/Publication": "2025-03-06 15:50:14 UTC",
  "RemoteUrl": "https://github.com/dariah-fi-survey-concept-network/finnsurveytext",
  "RemoteRef": "HEAD",
  "RemoteSha": "0128839f4888b2ce236c4373fb9849051fadf01c",
  "NeedsCompilation": "no",
  "Packaged": {
    "Date": "2026-05-13 08:10:03 UTC",
    "User": "root"
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  "Author": "Adeline Clarke [cre, aut],\nKrista Lagus [aut],\nKatja Laine [aut],\nMaria Litova [aut],\nMatti Nelimarkka [aut],\nJoni Oksanen [aut],\nJaakko Peltonen [aut],\nTuukka Oikarinen [aut],\nJani-Matti Tirkkonen [aut],\nIda Toivanen [aut],\nMaria Valaste [aut],\nShannon Emilia Carson [ctb],\nSirpa Lappalainen [ctb],\nTuukka Puonti [ctb],\nKimmo Vehkalahti [ctb],\nDARIAH-FI [cph, fnd]",
  "Maintainer": "Adeline Clarke <adelinepclarke@gmail.com>",
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  "_created": "2026-05-13T08:10:03.000Z",
  "_published": "2026-05-22T09:56:57.450Z",
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  "_updates": [],
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    "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/finnsurveytext"
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    "extra/citation.html",
    "extra/citation.json",
    "extra/citation.txt",
    "extra/contents.json",
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    "fst_cn_compare_plot",
    "fst_cn_edges",
    "fst_cn_get_unique",
    "fst_cn_get_unique_separate",
    "fst_cn_nodes",
    "fst_cn_plot",
    "fst_cn_search",
    "fst_comparison_cloud",
    "fst_concept_network",
    "fst_concept_network_compare",
    "fst_find_stopwords",
    "fst_format",
    "fst_format_svydesign",
    "fst_freq",
    "fst_freq_compare",
    "fst_freq_plot",
    "fst_freq_table",
    "fst_get_unique_ngrams",
    "fst_get_unique_ngrams_separate",
    "fst_join_unique",
    "fst_length_compare",
    "fst_length_summary",
    "fst_ngrams",
    "fst_ngrams_compare",
    "fst_ngrams_compare_plot",
    "fst_ngrams_plot",
    "fst_ngrams_table",
    "fst_ngrams_table2",
    "fst_pos",
    "fst_pos_compare",
    "fst_prepare",
    "fst_prepare_svydesign",
    "fst_print_available_models",
    "fst_rm_stop_punct",
    "fst_summarise",
    "fst_summarise_compare",
    "fst_summarise_short",
    "fst_use_svydesign",
    "fst_wordcloud",
    "runDemo"
  ],
  "_datasets": [
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      "name": "child",
      "title": "Child Barometer 2016 response data",
      "object": "child",
      "class": [
        "data.frame"
      ],
      "fields": [
        "fsd_id",
        "q3",
        "q7",
        "q11",
        "paino",
        "gender",
        "major_region",
        "daycare_before_school"
      ],
      "rows": 414,
      "table": true,
      "tojson": true
    },
    {
      "name": "dev_coop",
      "title": "Young People's Views on Development Cooperation 2012 response data",
      "object": "dev_coop",
      "class": [
        "data.frame"
      ],
      "fields": [
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        "q11_1",
        "q11_2",
        "q11_3",
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        "gender",
        "region",
        "year_of_birth",
        "education_level"
      ],
      "rows": 945,
      "table": true,
      "tojson": true
    },
    {
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      "title": "English Sample Survey Data: Patient Joe",
      "object": "english_sample_survey",
      "class": [
        "data.frame"
      ],
      "fields": [
        "id",
        "label",
        "label_coder1",
        "label_coder2",
        "text"
      ],
      "rows": 585,
      "table": true,
      "tojson": true
    },
    {
      "name": "fst_child",
      "title": "Child Barometer 2016 Bullying response data in CoNLL-U format with NLTK stopwords removed and background variables",
      "object": "fst_child",
      "class": [
        "data.frame"
      ],
      "fields": [
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        "paragraph_id",
        "sentence_id",
        "sentence",
        "token_id",
        "token",
        "lemma",
        "upos",
        "xpos",
        "feats",
        "head_token_id",
        "dep_rel",
        "deps",
        "misc",
        "weight",
        "gender",
        "major_region",
        "daycare_before_school"
      ],
      "rows": 1580,
      "table": true,
      "tojson": true
    },
    {
      "name": "fst_child_2",
      "title": "Child Barometer 2016 Bullying response data in CoNLL-U format with NLTK stopwords removed",
      "object": "fst_child_2",
      "class": [
        "data.frame"
      ],
      "fields": [
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        "paragraph_id",
        "sentence_id",
        "sentence",
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        "token",
        "lemma",
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        "deps",
        "misc"
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      "rows": 1580,
      "table": true,
      "tojson": true
    },
    {
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      "title": "Young People's Views on Development Cooperation 2012 q11_3 response data in CoNLL-U format with NTLK stopwords removed and background variables.",
      "object": "fst_dev_coop",
      "class": [
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      "fields": [
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        "paragraph_id",
        "sentence_id",
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        "token_id",
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        "region",
        "education_level",
        "year_of_birth"
      ],
      "rows": 4192,
      "table": true,
      "tojson": true
    },
    {
      "name": "fst_dev_coop_2",
      "title": "Young People's Views on Development Cooperation 2012 q11_3 response data in CoNLL-U format with NTLK stopwords removed",
      "object": "fst_dev_coop_2",
      "class": [
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      "fields": [
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        "paragraph_id",
        "sentence_id",
        "sentence",
        "token_id",
        "token",
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        "upos",
        "xpos",
        "feats",
        "head_token_id",
        "dep_rel",
        "deps",
        "misc"
      ],
      "rows": 4192,
      "table": true,
      "tojson": true
    }
  ],
  "_help": [
    {
      "page": "child",
      "title": "Child Barometer 2016 response data",
      "topics": [
        "child"
      ]
    },
    {
      "page": "dev_coop",
      "title": "Young People's Views on Development Cooperation 2012 response data",
      "topics": [
        "dev_coop"
      ]
    },
    {
      "page": "english_sample_survey",
      "title": "English Sample Survey Data: Patient Joe",
      "topics": [
        "english_sample_survey"
      ]
    },
    {
      "page": "fst_child",
      "title": "Child Barometer 2016 Bullying response data in CoNLL-U format with NLTK stopwords removed and background variables",
      "topics": [
        "fst_child"
      ]
    },
    {
      "page": "fst_child_2",
      "title": "Child Barometer 2016 Bullying response data in CoNLL-U format with NLTK stopwords removed",
      "topics": [
        "fst_child_2"
      ]
    },
    {
      "page": "fst_cn_compare_plot",
      "title": "Concept Network- Plot comparison Concept Network",
      "topics": [
        "fst_cn_compare_plot"
      ]
    },
    {
      "page": "fst_cn_edges",
      "title": "Concept Network - Get TextRank edges",
      "topics": [
        "fst_cn_edges"
      ]
    },
    {
      "page": "fst_cn_get_unique",
      "title": "Concept Network- Get unique nodes from a list of top n-grams tables",
      "topics": [
        "fst_cn_get_unique"
      ]
    },
    {
      "page": "fst_cn_get_unique_separate",
      "title": "Concept Network- Get unique nodes from separate top n-grams tables",
      "topics": [
        "fst_cn_get_unique_separate"
      ]
    },
    {
      "page": "fst_cn_nodes",
      "title": "Concept Network - Get TextRank nodes",
      "topics": [
        "fst_cn_nodes"
      ]
    },
    {
      "page": "fst_cn_plot",
      "title": "Plot Concept Network",
      "topics": [
        "fst_cn_plot"
      ]
    },
    {
      "page": "fst_cn_search",
      "title": "Concept Network - Search TextRank for concepts",
      "topics": [
        "fst_cn_search"
      ]
    },
    {
      "page": "fst_comparison_cloud",
      "title": "Make comparison cloud",
      "topics": [
        "fst_comparison_cloud"
      ]
    },
    {
      "page": "fst_concept_network",
      "title": "Concept Network - Make Concept Network plot",
      "topics": [
        "fst_concept_network"
      ]
    },
    {
      "page": "fst_concept_network_compare",
      "title": "Concept Network- Compare and plot Concept Network",
      "topics": [
        "fst_concept_network_compare"
      ]
    },
    {
      "page": "fst_dev_coop",
      "title": "Young People's Views on Development Cooperation 2012 q11_3 response data in CoNLL-U format with NTLK stopwords removed and background variables.",
      "topics": [
        "fst_dev_coop"
      ]
    },
    {
      "page": "fst_dev_coop_2",
      "title": "Young People's Views on Development Cooperation 2012 q11_3 response data in CoNLL-U format with NTLK stopwords removed",
      "topics": [
        "fst_dev_coop_2"
      ]
    },
    {
      "page": "fst_find_stopwords",
      "title": "Get available stopwords lists",
      "topics": [
        "fst_find_stopwords"
      ]
    },
    {
      "page": "fst_format",
      "title": "Annotate open-ended survey responses in into CoNLL-U format",
      "topics": [
        "fst_format"
      ]
    },
    {
      "page": "fst_format_svydesign",
      "title": "Annotate open-ended survey responses within a `svydesign` object into CoNLL-U format",
      "topics": [
        "fst_format_svydesign"
      ]
    },
    {
      "page": "fst_freq",
      "title": "Find and Plot Top Words",
      "topics": [
        "fst_freq"
      ]
    },
    {
      "page": "fst_freq_compare",
      "title": "Compare and plot top words",
      "topics": [
        "fst_freq_compare"
      ]
    },
    {
      "page": "fst_freq_plot",
      "title": "Make Top Words plot",
      "topics": [
        "fst_freq_plot"
      ]
    },
    {
      "page": "fst_freq_table",
      "title": "Make Top Words Table",
      "topics": [
        "fst_freq_table"
      ]
    },
    {
      "page": "fst_get_unique_ngrams",
      "title": "Get unique n-grams from a list of top n-grams tables",
      "topics": [
        "fst_get_unique_ngrams"
      ]
    },
    {
      "page": "fst_get_unique_ngrams_separate",
      "title": "Get unique n-grams from separate top n-grams tables",
      "topics": [
        "fst_get_unique_ngrams_separate"
      ]
    },
    {
      "page": "fst_join_unique",
      "title": "Merge N-grams table with unique words",
      "topics": [
        "fst_join_unique"
      ]
    },
    {
      "page": "fst_length_compare",
      "title": "Compare response lengths",
      "topics": [
        "fst_length_compare"
      ]
    },
    {
      "page": "fst_length_summary",
      "title": "Make Length Summary Table",
      "topics": [
        "fst_length_summary"
      ]
    },
    {
      "page": "fst_ngrams",
      "title": "Find and Plot Top N-grams",
      "topics": [
        "fst_ngrams"
      ]
    },
    {
      "page": "fst_ngrams_compare",
      "title": "Compare and plot top n-grams",
      "topics": [
        "fst_ngrams_compare"
      ]
    },
    {
      "page": "fst_ngrams_compare_plot",
      "title": "Plot comparison n-grams",
      "topics": [
        "fst_ngrams_compare_plot"
      ]
    },
    {
      "page": "fst_ngrams_plot",
      "title": "Make N-grams plot",
      "topics": [
        "fst_ngrams_plot"
      ]
    },
    {
      "page": "fst_ngrams_table",
      "title": "Make Top N-grams Table",
      "topics": [
        "fst_ngrams_table"
      ]
    },
    {
      "page": "fst_ngrams_table2",
      "title": "Make Top N-grams Table 2",
      "topics": [
        "fst_ngrams_table2"
      ]
    },
    {
      "page": "fst_pos",
      "title": "Make POS Summary Table",
      "topics": [
        "fst_pos"
      ]
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