擷取實體

• 3 分鐘

具名實體辨識會識別文字中提及的實體。 實體會分組為類別和子類別，例如：

• 個人
• Location
• Datetime
• Organization
• 位址
• 電子郵件
• URL

實體辨識的輸入與其他 Azure AI 語言 API 函式的輸入類似:

{
  "kind": "EntityRecognition",
  "parameters": {
    "modelVersion": "latest"
  },
  "analysisInput": {
    "documents": [
      {
        "id": "1",
        "language": "en",
        "text": "Joe went to London on Saturday"
      }
    ]
  }
}

此回應包含每份文件中所找到的分類實體清單：

{
    "kind": "EntityRecognitionResults",
     "results": {
          "documents":[
              {
                  "entities":[
                  {
                    "text":"Joe",
                    "category":"Person",
                    "offset":0,
                    "length":3,
                    "confidenceScore":0.62
                  },
                  {
                    "text":"London",
                    "category":"Location",
                    "subcategory":"GPE",
                    "offset":12,
                    "length":6,
                    "confidenceScore":0.88
                  },
                  {
                    "text":"Saturday",
                    "category":"DateTime",
                    "subcategory":"Date",
                    "offset":22,
                    "length":8,
                    "confidenceScore":0.8
                  }
                ],
                "id":"1",
                "warnings":[]
              }
          ],
          "errors":[],
          "modelVersion":"2021-01-15"
    }
}

若要深入瞭解實體，請參閱 建置對話式語言理解模型 模組。