Sentiment Analysis

Combination of Channel and Overlay to do Sentiment Analysis via Google Cloud API.

• Utilizes store.org.sentiment for results (array of 11 numbers representing counts of sentiment from 0 to 10)

• Stores the last message sentiment in the customer store as well in case they want to use that for an agent facing app or something.

• Note that the API key below utilizes our Google Cloud API key (the same one we usually use for Google Maps — we should encourage customers to get their own Google Cloud API key instead of using our credential.

Channel App [Shared]

Needs to be installed on every channel where you want Sentiment Analysis to take place...

var payload = {
  "document": {
      "type": "PLAIN_TEXT",
      "language": "en",
      "content": message
   }
}

chatbox.buildCallExternalWebAPI("POST", "https://language.googleapis.com/v1beta2/documents:analyzeSentiment?key=AIzaSyBL40Gq2YPrxKo7gNzrO-8VWPxTSLvxPWI").value(payload).eventName("sentiment");

Sentiment Callback:

if (statusCode == 200) {
   app.setElementLabel("value", returnData);
   var rd = JSON.parse(returnData);
   //returns -1.0 to 1.0
   // convert to 0 to 10
   var score = Math.round(((rd.documentSentiment.score * 10) + 10) / 2);
   store.save("customer", "lastSentiment", score);

   var x = json(store.org.sentiment, [0,0,0,0,0,0,0,0,0,0,0]);
   x[score] = x[score] + 1;
   store.save("org", "sentiment", JSON.stringify(x));
}

Overlay App [Shared]

Data Changed

var d = json(store.org.sentiment, [0,0,0,0,0,0,0,0,0,0,0]);
var l = [];
for (var i = 0; i < d.length; i++) {
   l.push({"x": String(i), "y": d[i]});
}

app.setElementProperties("chart", {"data": l});