Azure Text Analytics API 可以分析文本的內容，判斷其內容是屬於何種語言，並且會給予numeric score 範圍是0~1，代表其判斷精準度。

1.首先到此處創建服務，並產生金鑰
https://portal.azure.com/#create/Microsoft.CognitiveServicesTextAnalytics

2.到此處填上金鑰與相關參數https://eastasia.dev.cognitive.microsoft.com/docs/services/TextAnalytics.V2.0/operations/56f30ceeeda5650db055a3c7/console

如果出現401錯誤時可以檢查服務創建的地區是否與網址的地區相符（例如：eastasia）。

程式範例：

const https = require("https");

const options = {
  host: "eastasia.api.cognitive.microsoft.com",
  port: 443,
  path: `/text/analytics/v2.0/languages`,
  method: "POST",
  headers: {
    "Ocp-Apim-Subscription-Key": "填上金鑰",
    "Content-Type": "application/json"
  },
}

const req = https.request(options, res => {
  let chunk = '';
  res.on("data", function (data) {
    chunk += data;
  });
  res.on("end", function (data) {
    console.log(chunk);
  });
});

req.on("error", e => {
  console.error(e);
});

req.write(
  JSON.stringify({
    "documents": [
      {
        "id": "1",
        "text": "Hi."
      },
      {
        "id": "4",
        "text": "英國研究顯示，根據日本2017年雜誌報導，在南美洲的60分鐘等於一個小時。"
      },
      {
        "id": "5",
        "text": "???"
      }
    ]
  })
);

req.end();

回傳結果：

{"documents":[{"id":"1","detectedLanguages":[{"name":"English","iso6391Name":"en","score":1.0}]},{"id":"4","detectedLanguages":[{"name":"Chinese_Traditional","iso6391Name":"zh_cht","score":0.78571426868438721}]},{"id":"5","detectedLanguages":[{"name":"(Unknown)","iso6391Name":"(Unknown)","score":0.0}]}],"errors":[]}