sunnygleason/pubnub_lexalytics_ui.html

## pubnub_lexalytics_ui.html
<!doctype html>
<html>
<head>
  <script src="https://cdn.pubnub.com/sdk/javascript/pubnub.4.5.0.js"></script>
  <script src="https://ajax.googleapis.com/ajax/libs/angularjs/1.5.8/angular.min.js"></script>
  <script src="https://cdn.pubnub.com/sdk/pubnub-angular/pubnub-angular-4.0.2.js"></script>
  <script src="https://cdnjs.cloudflare.com/ajax/libs/underscore.js/1.8.3/underscore-min.js"></script>
  <link rel="stylesheet" href="//netdna.bootstrapcdn.com/bootstrap/3.0.2/css/bootstrap.min.css" />
  <link rel="stylesheet" href="https://maxcdn.bootstrapcdn.com/font-awesome/4.6.3/css/font-awesome.min.css" />
</head>
<body>
<div class="container" ng-app="PubNubAngularApp" ng-controller="MyTextCtrl">

<pre>
NOTE: make sure to update the PubNub keys below with your keys,
and ensure that the sentiment analysis BLOCK is configured properly!
</pre>

<h3>MyText Sentiment Analysis</h3>

<input ng-model="toSend" />
<input type="button" ng-click="publish()" value="Send!" />

<br /><br />

<ul>
  <li ng-repeat="message in messages track by $index">
    text: {{message.source_text}}
    <br />
    sentiment: <span ng-bind-html="to_trusted(emote(message.sentiment_polarity))"></span> (score: {{message.sentiment_score}})
  </li>
</ul>

</div>

<script>
angular.module('PubNubAngularApp', ["pubnub.angular.service"])
.controller('MyTextCtrl', function($rootScope, $scope, $sce, Pubnub) {
  $scope.messages     = [];
  $scope.pubChannel   = 'lexalytics-channel';
  $scope.subChannel   = 'semoutput';

  if (!$rootScope.initialized) {
    Pubnub.init({
      publishKey: 'YOUR_PUB_KEY',
      subscribeKey: 'YOUR_SUB_KEY',
      ssl:true
    });
    $rootScope.initialized = true;
  }

  var msgCallback = function(payload) {
    $scope.$apply(function() {
      $scope.messages = payload.concat($scope.messages);
    });
  };

  $scope.publish = function() {
    Pubnub.publish({
      channel: $scope.pubChannel,
      message: {docs:[{text:$scope.toSend,id:parseInt(Math.random(5000000) * 10000000).toString()}]}
    });

    $scope.toSend = "";
  };

  $scope.emote = function(type) {
    if (type === 'positive') {
      return '<i class="fa fa-smile-o" aria-hidden="true"></i>';
    } else if (type === 'negative') {
      return '<i class="fa fa-frown-o" aria-hidden="true"></i>';
    } else {
      return '<i class="fa fa-meh-o" aria-hidden="true"></i>';
    }
  };

  $scope.to_trusted = function(html_code) {
    return $sce.trustAsHtml(html_code);
  };

  Pubnub.subscribe({ channels: [$scope.subChannel] });
  Pubnub.addListener({ message: msgCallback });
});
</script>
</body>
</html>
	<!doctype html>
	<html>
	<head>
	<script src="https://cdn.pubnub.com/sdk/javascript/pubnub.4.5.0.js"></script>
	<script src="https://ajax.googleapis.com/ajax/libs/angularjs/1.5.8/angular.min.js"></script>
	<script src="https://cdn.pubnub.com/sdk/pubnub-angular/pubnub-angular-4.0.2.js"></script>
	<script src="https://cdnjs.cloudflare.com/ajax/libs/underscore.js/1.8.3/underscore-min.js"></script>
	<link rel="stylesheet" href="//netdna.bootstrapcdn.com/bootstrap/3.0.2/css/bootstrap.min.css" />
	<link rel="stylesheet" href="https://maxcdn.bootstrapcdn.com/font-awesome/4.6.3/css/font-awesome.min.css" />
	</head>
	<body>
	<div class="container" ng-app="PubNubAngularApp" ng-controller="MyTextCtrl">

	<pre>
	NOTE: make sure to update the PubNub keys below with your keys,
	and ensure that the sentiment analysis BLOCK is configured properly!
	</pre>

	<h3>MyText Sentiment Analysis</h3>

	<input ng-model="toSend" />
	<input type="button" ng-click="publish()" value="Send!" />

	<br /><br />

	<ul>
	<li ng-repeat="message in messages track by $index">
	text: {{message.source_text}}
	<br />
	sentiment: <span ng-bind-html="to_trusted(emote(message.sentiment_polarity))"></span> (score: {{message.sentiment_score}})
	</li>
	</ul>

	</div>

	<script>
	angular.module('PubNubAngularApp', ["pubnub.angular.service"])
	.controller('MyTextCtrl', function($rootScope, $scope, $sce, Pubnub) {
	$scope.messages = [];
	$scope.pubChannel = 'lexalytics-channel';
	$scope.subChannel = 'semoutput';

	if (!$rootScope.initialized) {
	Pubnub.init({
	publishKey: 'YOUR_PUB_KEY',
	subscribeKey: 'YOUR_SUB_KEY',
	ssl:true
	});
	$rootScope.initialized = true;
	}

	var msgCallback = function(payload) {
	$scope.$apply(function() {
	$scope.messages = payload.concat($scope.messages);
	});
	};

	$scope.publish = function() {
	Pubnub.publish({
	channel: $scope.pubChannel,
	message: {docs:[{text:$scope.toSend,id:parseInt(Math.random(5000000) * 10000000).toString()}]}
	});

	$scope.toSend = "";
	};

	$scope.emote = function(type) {
	if (type === 'positive') {
	return '<i class="fa fa-smile-o" aria-hidden="true"></i>';
	} else if (type === 'negative') {
	return '<i class="fa fa-frown-o" aria-hidden="true"></i>';
	} else {
	return '<i class="fa fa-meh-o" aria-hidden="true"></i>';
	}
	};

	$scope.to_trusted = function(html_code) {
	return $sce.trustAsHtml(html_code);
	};

	Pubnub.subscribe({ channels: [$scope.subChannel] });
	Pubnub.addListener({ message: msgCallback });
	});
	</script>
	</body>
	</html>