Update model.py

model.py

@@ -119,10 +119,13 @@ def assess_churn_risk(sentiment_label, emotion_label):
 def extract_pain_points(text):
     common_issues = [
         "slow", "crash", "lag", "expensive", "confusing", "noisy", "poor", "rude",
-        "unhelpful", "bug", "broken", "unresponsive", "not working", "error", "delay", "disconnect"
+        "unhelpful", "bug", "broken", "unresponsive", "not working", "error", "delay", "disconnect",
+        "incomplete", "overpriced", "difficult", "conflict", "unclear", "inconsistent",
+        "missing", "locked", "freeze", "freeze-up", "conflicting", "conflicting answers", "outdated"
     ]
+
     text_lower = text.lower()
-    matches = [kw for kw in common_issues if re.search(rf"\b{kw}\b", text_lower)]
+    matches = [kw for kw in common_issues if re.search(rf"\b{re.escape(kw)}\b", text_lower)]
     return list(set(matches))[:5]
 
 # === Industry Detector ===