diff --git a/06.understand_sentiment/README.md b/06.understand_sentiment/README.md
index 4a9d22df5a4b82d7cea3a773efa5e480c81045a0..e3b05ee9b804f8ceb5a7f192f8749d113feda034 100644
--- a/06.understand_sentiment/README.md
+++ b/06.understand_sentiment/README.md
@@ -173,7 +173,7 @@ def stacked_lstm_net(data, input_dim, class_dim, emb_dim, hid_dim, stacked_num):
 
     # Calculate word vectorvector
     emb = fluid.layers.embedding(
-        input=data, size=[input_dim, emb_dim], is_sparse=True)=True)
+        input=data, size=[input_dim, emb_dim], is_sparse=True)
 
     #First stack
     #Fully connected layer
diff --git a/06.understand_sentiment/index.html b/06.understand_sentiment/index.html
index d631b65c04312ae61d587db61dc4518f8adafbec..ce37acff6ddde19ee5bdcc3ac1eedb3bea0ddd69 100644
--- a/06.understand_sentiment/index.html
+++ b/06.understand_sentiment/index.html
@@ -215,7 +215,7 @@ def stacked_lstm_net(data, input_dim, class_dim, emb_dim, hid_dim, stacked_num):
 
     # Calculate word vectorvector
     emb = fluid.layers.embedding(
-        input=data, size=[input_dim, emb_dim], is_sparse=True)=True)
+        input=data, size=[input_dim, emb_dim], is_sparse=True)
 
     #First stack
     #Fully connected layer