"TF-IDF" meaning in All languages combined

{
  "etymology_text": "Abbreviation of “term frequency over inverse document frequency”.",
  "forms": [
    {
      "form": "tf-idf",
      "tags": [
        "alternative"
      ]
    },
    {
      "form": "TF*IDF",
      "tags": [
        "alternative"
      ]
    },
    {
      "form": "TF.IDF",
      "tags": [
        "alternative"
      ]
    },
    {
      "form": "TFIDF",
      "tags": [
        "alternative"
      ]
    }
  ],
  "head_templates": [
    {
      "args": {
        "1": "-"
      },
      "expansion": "TF-IDF (uncountable)",
      "name": "en-noun"
    }
  ],
  "lang": "English",
  "lang_code": "en",
  "pos": "noun",
  "senses": [
    {
      "categories": [
        {
          "kind": "other",
          "name": "English entries with incorrect language header",
          "parents": [
            "Entries with incorrect language header",
            "Entry maintenance"
          ],
          "source": "w"
        },
        {
          "kind": "other",
          "name": "Pages with 1 entry",
          "parents": [],
          "source": "w"
        },
        {
          "kind": "other",
          "name": "Pages with entries",
          "parents": [],
          "source": "w"
        }
      ],
      "examples": [
        {
          "text": "The relevance of a document to a given search query can be guessed using the TF-IDF of each word they have in common.",
          "type": "example"
        },
        {
          "ref": "2019, Hobson Lane, Cole Howard, Hannes Max Hapke, Natural Language Processing In Action […] , Shelter Island: Manning, →ISBN:",
          "text": "And this distribution of word frequencies will ensure that your TF-IDF scores are more uniformly distributed.",
          "type": "quote"
        }
      ],
      "glosses": [
        "A mathematical approximation to the importance of a particular word in a given piece of text."
      ],
      "id": "en-TF-IDF-en-noun-Xq93KFe1",
      "links": [
        [
          "importance",
          "importance"
        ]
      ],
      "qualifier": "information retrieval",
      "raw_glosses": [
        "(information retrieval) A mathematical approximation to the importance of a particular word in a given piece of text."
      ],
      "tags": [
        "uncountable"
      ]
    }
  ],
  "word": "TF-IDF"
}

{
  "etymology_text": "Abbreviation of “term frequency over inverse document frequency”.",
  "forms": [
    {
      "form": "tf-idf",
      "tags": [
        "alternative"
      ]
    },
    {
      "form": "TF*IDF",
      "tags": [
        "alternative"
      ]
    },
    {
      "form": "TF.IDF",
      "tags": [
        "alternative"
      ]
    },
    {
      "form": "TFIDF",
      "tags": [
        "alternative"
      ]
    }
  ],
  "head_templates": [
    {
      "args": {
        "1": "-"
      },
      "expansion": "TF-IDF (uncountable)",
      "name": "en-noun"
    }
  ],
  "lang": "English",
  "lang_code": "en",
  "pos": "noun",
  "senses": [
    {
      "categories": [
        "English entries with incorrect language header",
        "English lemmas",
        "English multiword terms",
        "English nouns",
        "English terms with quotations",
        "English terms with usage examples",
        "English uncountable nouns",
        "Pages with 1 entry",
        "Pages with entries"
      ],
      "examples": [
        {
          "text": "The relevance of a document to a given search query can be guessed using the TF-IDF of each word they have in common.",
          "type": "example"
        },
        {
          "ref": "2019, Hobson Lane, Cole Howard, Hannes Max Hapke, Natural Language Processing In Action […] , Shelter Island: Manning, →ISBN:",
          "text": "And this distribution of word frequencies will ensure that your TF-IDF scores are more uniformly distributed.",
          "type": "quote"
        }
      ],
      "glosses": [
        "A mathematical approximation to the importance of a particular word in a given piece of text."
      ],
      "links": [
        [
          "importance",
          "importance"
        ]
      ],
      "qualifier": "information retrieval",
      "raw_glosses": [
        "(information retrieval) A mathematical approximation to the importance of a particular word in a given piece of text."
      ],
      "tags": [
        "uncountable"
      ]
    }
  ],
  "word": "TF-IDF"
}