{
  "opencollection": "1.0.0",
  "info": {
    "name": "AYLIEN News Absa API",
    "version": "3.0"
  },
  "items": [
    {
      "info": {
        "name": "Absa",
        "type": "folder"
      },
      "items": [
        {
          "info": {
            "name": "Aspect-based sentiment",
            "type": "http"
          },
          "http": {
            "method": "GET",
            "url": "https://api.aylien.com/news/absa",
            "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"
              },
              {
                "name": "domain",
                "value": "",
                "type": "query",
                "description": "Article domain"
              }
            ],
            "auth": {
              "type": "apikey",
              "key": "X-AYLIEN-NewsAPI-Application-ID",
              "value": "{{X-AYLIEN-NewsAPI-Application-ID}}",
              "placement": "header"
            }
          },
          "docs": "Identifies aspects mentioned in text and then analyzes the sentiment towards each of the aspects mentioned. Great for analyzing reviews!\n"
        }
      ]
    }
  ],
  "bundled": true
}