Adding Targeted Sentement Method

README.md

@@ -57,6 +57,19 @@ Sentiment Analysis
       // Do something with data
     });
 
+Targeted Sentiment Analysis
+------------------
+    var AlchemyAPI = require('alchemy-api');
+    var alchemy = new AlchemyAPI('<YOUR API KEY>');
+    alchemy.sentiment_targeted('<URL|HTML|TEXT>', '<Target>', {}, function(err, response) {
+      if (err) throw err;
+
+      // See http://www.alchemyapi.com/api/sentiment/htmlc.html for format of returned object
+      var sentiment = response.docSentiment;
+
+      // Do something with data
+    });
+
 Relation Extraction
 -------------------
     var AlchemyAPI = require('alchemy-api');

index.js

@@ -236,9 +236,15 @@ AlchemyAPI.prototype.apiKeyInfo = function(options, cb) {
  * @return {Object} 
  */
 AlchemyAPI.prototype.sentiment = function(data, options, cb) {
-    this._doRequest(this._getQuery(data, options, "GetTextSentiment"), cb);
+	this._doRequest(this._getQuery(data, options, "GetTextSentiment"), cb);
 };
 
+AlchemyAPI.prototype.sentiment_targeted = function(data, target, options, cb) {
+	if(typeof target !== 'Object'){
+		options.target = target;
+	}
+    this._doRequest(this._getQuery(data, options, "GetTargetedSentiment"), cb);
+};
 /**
  * Function to return relations in the data passed in
  * @param  {String} data The text to be passed to Alchemy can either a url, html text or plain text 

package.json

@@ -2,7 +2,7 @@
   "name": "alchemy-api",
   "description": "An Alchemy API library for Node.js",
   "tags": ["Alchemy", "Natural Language Processing", "util"],
-  "version": "1.1.2",
+  "version": "1.2.0",
   "author": "Jason Morgan <jason@framingeinstein.com>",
   "contributors": [
   ],

test/index.js

@@ -45,6 +45,26 @@ module.exports = {
 			test.done();
 	        });
 	},
+	'get sentiment_targeted': function(test) {
+		var alchemy = new Alchemy(apikey);
+	        alchemy.sentiment_targeted("Guy Somethington is an candidate but Hillary is not", "Guy Somethington", {}, function(error, result) {
+			test.ifError(error);
+
+			//console.log(result);
+			test.deepEqual(result.docSentiment.type, "positive");
+			test.done();
+	        });
+	},
+	'get sentiment_targeted 2': function(test) {
+		var alchemy = new Alchemy(apikey);
+	        alchemy.sentiment_targeted("Guy Somethington is an awesome candidate but Billary is not", "Billary", {}, function(error, result) {
+			test.ifError(error);
+			test.deepEqual(result.docSentiment.type, "negative");
+			//console.log(result);
+			//test.deepEqual(result.status, "OK");
+			test.done();
+	        });
+	},
 	'get relations': function(test) {
 		var alchemy = new Alchemy(apikey);
 		alchemy.relations(testURL, {sentiment: 1}, function(error, result) {