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(':')
 
+
+        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)
 
-def sentiment_analyse(sentiment_text):
-    score = SentimentIntensityAnalyzer().polarity_scores(sentiment_text)
-    if score['neg'] > score['pos']:
-        print("Negative Sentiment")
-    elif score['neg'] < score['pos']:
-        print("Positive Sentiment")
-    else:
-        print("Neutral Sentiment")
-
-
-sentiment_analyse(cleaned_text)