from keras.models import Sequential # 导入序贯模型
from keras.layers.embeddings import Embedding #导入词嵌入层
from keras.layers import Dense #导入全连接层
from keras.layers import LSTM #导入LSTM层
embedding_vecor_length = 60 # 设定词嵌入向量长度为60
lstm = Sequential() #序贯模型
lstm.add(Embedding(dictionary_size, embedding_vecor_length,