diff --git a/06.understand_sentiment/README.md b/06.understand_sentiment/README.md
index ab3bb8562b4ec4fe5a0f5d7971ba1a69026e48fd..946243fd93c332f36da1d59dc736aa1ebb90d3b5 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
@@ -191,7 +191,7 @@ def stacked_lstm_net(data, input_dim, class_dim, emb_dim, hid_dim, stacked_num):
         inputs = [fc, lstm]
 
     #pooling layer
-    pc_last = fluid.layers.sequence_pool(input=inputs[0], pool_type='max')
+    fc_last = fluid.layers.sequence_pool(input=inputs[0], pool_type='max')
     lstm_last = fluid.layers.sequence_pool(input=inputs[1], pool_type='max')
 
     #Fully connected layer, softmax prediction