diff --git a/src/main/java/com/sztzjy/linkCommerce/service/impl/ProductDiagnosisIterationStepTwoServiceImpl.java b/src/main/java/com/sztzjy/linkCommerce/service/impl/ProductDiagnosisIterationStepTwoServiceImpl.java
index 4ccf52f..895c395 100644
--- a/src/main/java/com/sztzjy/linkCommerce/service/impl/ProductDiagnosisIterationStepTwoServiceImpl.java
+++ b/src/main/java/com/sztzjy/linkCommerce/service/impl/ProductDiagnosisIterationStepTwoServiceImpl.java
@@ -116,7 +116,7 @@ public class ProductDiagnosisIterationStepTwoServiceImpl implements ProductDiagn
         for (String type : SENTIMENT_TYPES) {
             ProductDiagnosisIterationStepTwoValidationRequest.Sentiment row = byType.get(type);
             BigDecimal expected = new BigDecimal(row.getCount()).multiply(new BigDecimal("100")).divide(new BigDecimal(total), 2, RoundingMode.HALF_UP);
-            if (row.getPercentage().compareTo(expected) != 0) throw badRequest(type + "评论占比应等于该类评论数量除以总评论数量，保留两位小数");
+            if (row.getPercentage().compareTo(expected) != 0) throw badRequest("正面、中性、负面评论占比之和应为100%。");
         }
     }
 
diff --git a/src/test/java/com/sztzjy/linkCommerce/service/impl/ProductDiagnosisIterationStepTwoServiceImplTest.java b/src/test/java/com/sztzjy/linkCommerce/service/impl/ProductDiagnosisIterationStepTwoServiceImplTest.java
index 6f2687b..6dad45c 100644
--- a/src/test/java/com/sztzjy/linkCommerce/service/impl/ProductDiagnosisIterationStepTwoServiceImplTest.java
+++ b/src/test/java/com/sztzjy/linkCommerce/service/impl/ProductDiagnosisIterationStepTwoServiceImplTest.java
@@ -47,7 +47,8 @@ class ProductDiagnosisIterationStepTwoServiceImplTest {
         ProductDiagnosisIterationStepTwoServiceImpl service = new ProductDiagnosisIterationStepTwoServiceImpl();
         ProductDiagnosisIterationStepTwoValidationRequest incorrect = validRequest();
         incorrect.getSentiments().get(0).setPercentage(new BigDecimal("34.00"));
-        assertThrows(ServiceException.class, () -> service.validate(incorrect, student()));
+        ServiceException percentageError = assertThrows(ServiceException.class, () -> service.validate(incorrect, student()));
+        assertEquals("正面、中性、负面评论占比之和应为100%。", percentageError.getMessage());
 
         ProductDiagnosisIterationStepTwoValidationRequest noConclusion = validRequest();
         noConclusion.setRootCauseAnalysis(" ");