{
  "opencollection": "1.0.0",
  "info": {
    "name": "Microsoft Azure AccessControlClient AccessConnector Sentiment API",
    "version": "2020-08-01-preview"
  },
  "items": [
    {
      "info": {
        "name": "Sentiment",
        "type": "folder"
      },
      "items": [
        {
          "info": {
            "name": "Microsoft Azure Sentiment",
            "type": "http"
          },
          "http": {
            "method": "POST",
            "url": "{{baseUrl}}/sentiment",
            "params": [
              {
                "name": "model-version",
                "value": "",
                "type": "query",
                "description": "(Optional) This value indicates which model will be used for scoring. If a model-version is not specified, the API should default to the latest, non-preview version. "
              },
              {
                "name": "showStats",
                "value": "",
                "type": "query",
                "description": "(Optional) if set to true, response will contain request and document level statistics."
              },
              {
                "name": "opinionMining",
                "value": "",
                "type": "query",
                "description": "(Optional) if set to true, response will contain not only sentiment prediction but also opinion mining (aspect-based sentiment analysis) results."
              },
              {
                "name": "stringIndexType",
                "value": "",
                "type": "query",
                "description": "(Optional) Specifies the method used to interpret string offsets.  Defaults to Text Elements (Graphemes) according to Unicode v8.0.0. For additional information see https://aka.ms/text-analytics-offsets"
              }
            ]
          },
          "docs": "The API returns a detailed sentiment analysis for the input text. The analysis is done in multiple levels of granularity, start from the a document level, down to sentence and key terms (targets and assessments)."
        }
      ]
    }
  ],
  "bundled": true
}