{
  "opencollection": "1.0.0",
  "info": {
    "name": "AYLIEN News Absa Elsa API",
    "version": "3.0"
  },
  "items": [
    {
      "info": {
        "name": "Elsa",
        "type": "folder"
      },
      "items": [
        {
          "info": {
            "name": "Entity-level sentiment",
            "type": "http"
          },
          "http": {
            "method": "GET",
            "url": "https://api.aylien.com/news/elsa",
            "params": [
              {
                "name": "text",
                "value": "",
                "type": "query",
                "description": "Text to analyze\n"
              },
              {
                "name": "url",
                "value": "",
                "type": "query",
                "description": "URL to analyze\n"
              },
              {
                "name": "language",
                "value": "",
                "type": "query",
                "description": "Text to analyze\n"
              }
            ],
            "auth": {
              "type": "apikey",
              "key": "X-AYLIEN-NewsAPI-Application-ID",
              "value": "{{X-AYLIEN-NewsAPI-Application-ID}}",
              "placement": "header"
            }
          },
          "docs": "Extracts mentions of named entities (Person, Organization, Location), and detects the sentiment towards each of the entities recognised. This endpoint utilizes some of the functionality of the Entity extraction and Concept extraction endpoints.\n"
        }
      ]
    }
  ],
  "bundled": true
}