final

aggro_model.py

@@ -241,19 +241,19 @@ def get_aggro_score(title: str) -> dict:
     
     # 5. 등급 판정
     if final_score >= 80:
-        reason = f"매우 높음 🔴 (AI: {bert_score:.2f}점, 규칙: {rule_score:.0f}점,{rule_pattern})"
+        reason = f"매우 높음 🔴"
         recommendation = "전면 수정 권장"
     
     elif final_score >= 60:
-        reason = f"높음 🟠 (AI: {bert_score:.2f}점, 규칙: {rule_score:.0f}점,{rule_pattern})"
+        reason = f"높음 🟠"
         recommendation = "과장된 표현 수정 필요"
     
     elif final_score >= 40:
-        reason = f"보통 🟡 (AI: {bert_score:.2f}점, 규칙: {rule_score:.0f}점,{rule_pattern})"
+        reason = f"보통 🟡"
         recommendation = "일부 표현 중립화 권장"
     
     else:
-        reason = f"낮음 🟢 (AI: {bert_score:.2f}점, 규칙: {rule_score:.0f}점,{rule_pattern})"
+        reason = f"낮음 🟢"
         recommendation = "적절한 제목입니다"
 
     return {

main.py

@@ -113,8 +113,8 @@ def analyze_article(request: ArticleRequest,db: Session = Depends(get_db)):
 
     # 최종 위험도 계산
     w_aggro = 0.2
-    w_mismatch = 0.3
-    w_crossref = 0.5
+    w_mismatch = 0.5
+    w_crossref = 0.3
     
     final_score = (real_aggro.score * w_aggro) + \
                   (real_mismatch.score * w_mismatch) + \