diff --git a/GlossCount.py b/GlossCount.py
index 2ff4471..6180ae7 100644
--- a/GlossCount.py
+++ b/GlossCount.py
@@ -57,23 +57,25 @@ def expand_sets(positive,negative,neutral):
             neutral = set(newsets[2])
 
         # Learn Classifier
+        print len(negative)
+        print len(positive)
         trainfeats = [({word : True},"pos") for word in positive] + [({word : True},"neg") for word in negative]
         classifier = NaiveBayesClassifier.train(trainfeats)
-        print "cat"
         #print classifier.classify(dict([(word, True) for word in words]))
-        print classifier.classify(dict([("bad",True),("bad",True)]))
+        #print classifier.classify(dict([("bad",True),("bad",True)]))
         # Iterate through all of the reviews and find sentiment
         count = 0.00
         correct = 0.00
-        for reviews in movie_reviews.fileids():
+        for reviews in movie_reviews.fileids():     #For every review
             score = 0;
-            for words in movie_reviews.words(fileids=[reviews]):
-                if()
-                sent_value = classifier.classify(dict([(word, True)]))
-                if(sent_value is 'neg'):
-                    score = score - 1
-                elif(sent_value is 'pos'):
-                    score = score + 1
+            tokens = nltk.pos_tag(nltk.word_tokenize(movie_reviews.raw(fileids=[reviews])))     #Tokenize all words
+            for token in tokens:
+                if (token[1]== "JJ" or token[1] == "JJR" or token[1] == "JJS"):         # If adjective, check value
+                    sent_value = classifier.classify(dict([(token[0], True)]))
+                    if(sent_value is 'neg'):
+                        score = score - 1
+                    elif(sent_value is 'pos'):
+                        score = score + 1
             if (score < 0):
                 print "Negative at %d" % (score)
                 sentiment = 'neg'
@@ -81,6 +83,7 @@ def expand_sets(positive,negative,neutral):
                 sentiment = 'pos'
                 print "Positive at %d" % (score)
             if (sentiment == movie_reviews.categories(fileids=[reviews])[0]):
+                print "Correct"
                 correct = correct + 1.00
             count = count + 1.00
         print correct/count