Updated textAnalyze(NLTK).py (sentiment analyzing)

textAnalyze(NLTK).py

@@ -33,21 +33,22 @@ with open('emotions.txt', 'r') as file:
         word, emotion = clear_line.split(':')
 
 
-        def sentiment_analyse(sentiment_text):
-            score = SentimentIntensityAnalyzer().polarity_scores(sentiment_text)
-            print(emotion)
-            print(score)
-            if score['neg'] > score['pos']:
-                print("Negative Sentiment")
-            elif score['neg'] < score['pos']:
-                print("Positive Sentiment")
-            else:
-                print("Neutral Sentiment")
-        sentiment_analyse(emotion)
-
         if word in lemma_words:
-            emotion_list.append(emotion)
-
+            def sentiment_analyse(sentiment_text):
+                score = SentimentIntensityAnalyzer().polarity_scores(sentiment_text)
+                print(word)
+                print(score)
+                if score['neg'] > score['pos']:
+                    print("Negative Sentiment")
+                    emotion_list.append(emotion)
+                elif score['neg'] < score['pos']:
+                    print("Positive Sentiment")
+                    emotion_list.append(emotion)
+                else:
+                    print("Neutral Sentiment")
+                    emotion_list.append(emotion)
+
+            sentiment_analyse(word)
 
 print(emotion_list)
 w = Counter(emotion_list)