Update mca_comment_analyzer.py

mca_comment_analyzer.py

@@ -48,20 +48,25 @@ class MCACommentAnalyzer:
 
     def map_sentiment(self, pred, text):
         text_lower = text.lower()
+        
+        # -----------------------------
+        # Strict priority: Negative → Violation → Suggestion → Positive
+        # -----------------------------
+        negative_keywords = ["confusing", "unclear", "bad", "problem"]
         violation_keywords = ["violation", "violates", "illegal", "non-compliant"]
         suggestion_keywords = ["should", "recommend", "suggest", "advise", "better if"]
         positive_keywords = ["clear", "helpful", "good", "appreciate", "support"]
-        negative_keywords = ["confusing", "unclear", "bad", "problem"]
 
+        if any(w in text_lower for w in negative_keywords):
+            return "Negative"
         if any(w in text_lower for w in violation_keywords):
             return "Violation"
         if any(w in text_lower for w in suggestion_keywords):
             return "Suggestion"
         if any(w in text_lower for w in positive_keywords):
             return "Positive"
-        if any(w in text_lower for w in negative_keywords):
-            return "Negative"
 
+        # fallback to sentiment model
         label = pred['label'].upper()
         if label == "POSITIVE":
             return "Positive"