diff --git a/docs/chapter10_natural-language-processing/10.7_sentiment-analysis-rnn.md b/docs/chapter10_natural-language-processing/10.7_sentiment-analysis-rnn.md
index ed3eea8998a978dfd8811c6d8073ac89649ee4e4..5a95a90e3f82be4330edeef4b1db5a9044737928 100644
--- a/docs/chapter10_natural-language-processing/10.7_sentiment-analysis-rnn.md
+++ b/docs/chapter10_natural-language-processing/10.7_sentiment-analysis-rnn.md
@@ -195,15 +195,19 @@ def load_pretrained_embedding(words, pretrained_vocab):
             idx = pretrained_vocab.stoi[word]
             embed[i, :] = pretrained_vocab.vectors[idx]
         except KeyError:
-            oov_count += 0
+            oov_count += 1
     if oov_count > 0:
-        print("There are %d oov words.")
+        print("There are %d oov words." % oov_count)
     return embed
 
 net.embedding.weight.data.copy_(
     load_pretrained_embedding(vocab.itos, glove_vocab))
 net.embedding.weight.requires_grad = False # 直接加载预训练好的, 所以不需要更新它
 ```
+输出:
+```
+There are 21202 oov words.
+```
 
 ### 10.7.2.2 训练并评价模型