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  "Title": "Chinese Text Segmentation, POS Tagging, and Keyword Extraction",
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    "description": "岁岁年年 叠于我身 皆循时光 逝而不返",
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    "count_ngrams",
    "filter_segment",
    "freq",
    "get_idf",
    "import_cidian",
    "keywords",
    "keywords_df",
    "new_user_word",
    "read_cidian",
    "segment",
    "segment_batch",
    "tagging",
    "tagging_batch",
    "textrank",
    "textrank_df",
    "worker"
  ],
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      "class": [
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      ],
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      "table": false,
      "tojson": true
    },
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      "title": "Built-in stopword lists",
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      "class": [
        "character"
      ],
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      "table": false,
      "tojson": true
    },
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      "title": "Built-in stopword lists",
      "object": "stopwords_full",
      "class": [
        "character"
      ],
      "fields": [],
      "table": false,
      "tojson": true
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      "title": "Count n-grams from segmented text",
      "topics": [
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      ]
    },
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      "page": "filter_segment",
      "title": "Filter segmentation results",
      "topics": [
        "filter_segment"
      ]
    },
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      "title": "The frequency of words",
      "topics": [
        "freq"
      ]
    },
    {
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      "title": "Generate IDF dict",
      "topics": [
        "get_idf"
      ]
    },
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      ]
    },
    {
      "page": "keywords",
      "title": "Extract keywords from text",
      "topics": [
        "keywords"
      ]
    },
    {
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      "topics": [
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      ]
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      "title": "Add user word",
      "topics": [
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        "new_user_word"
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    },
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      ]
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      "page": "segment",
      "title": "Segment text with a jieba worker",
      "topics": [
        "segment"
      ]
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      "page": "segment_batch",
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      "topics": [
        "segment_batch"
      ]
    },
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      "title": "Built-in stopword lists",
      "topics": [
        "stopwords",
        "stopwords_cn",
        "stopwords_en",
        "stopwords_full"
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    },
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      "topics": [
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      ]
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      "topics": [
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      "r": "4.6.1",
      "os": "win",
      "version": "0.3.1",
      "date": "2026-10-13T12:18:04.000Z",
      "arch": "x86_64",
      "commit": "49a9cc41844af070d2cf187f9c884b5394ea21e2",
      "fileid": "https://r2.ropensci.org/3541dbf884b330355d541bada03122cb610fa1ef4f38464e8d1a241680feae19",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/r-multiverse/actions/runs/38395383827"
    }
  ]
}