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(':')
 
 
+        if word in lemma_words:
             def sentiment_analyse(sentiment_text):
                 score = SentimentIntensityAnalyzer().polarity_scores(sentiment_text)
-            print(emotion)
+                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")
-        sentiment_analyse(emotion)
-
-        if word in lemma_words:
                     emotion_list.append(emotion)
 
+            sentiment_analyse(word)
 
 print(emotion_list)
 w = Counter(emotion_list)