Updated textAnalyze(NLTK).py (sentiment analyzing)

textAnalyze(NLTK).py

@@ -32,23 +32,26 @@ with open('emotions.txt', 'r') as file:
         clear_line = line.replace("\n", '').replace(",", '').replace("'", '').strip()
         word, emotion = clear_line.split(':')
 
-        if word in lemma_words:
-            emotion_list.append(emotion)
 
-print(emotion_list)
-w = Counter(emotion_list)
-print(w)
-
-def sentiment_analyse(sentiment_text):
+        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)
+
+
+print(emotion_list)
+w = Counter(emotion_list)
+print(w)
 
-sentiment_analyse(cleaned_text)