  import mxnet as mx
  from mxnet import autograd, gluon, image, nd, init
  from mxnet.gluon import nn, data as gdata, loss as gloss, utils as gutils
  import numpy as np
  
  
  VOC_CLASSES = ['background', 'aeroplane', 'bicycle', 'bird', 'boat',
 
</s> remove def get_tokenized_imdb(train_data, test_data):
 </s> add def get_tokenized_imdb(data):
from mxnet.contrib import text
  import mxnet as mx
  from mxnet import autograd, gluon, image, nd, init
from mxnet.contrib import text
  from mxnet.gluon import nn, data as gdata, loss as gloss, utils as gutils
  import numpy as np
  
  
  VOC_CLASSES = ['background', 'aeroplane', 'bicycle', 'bird', 'boat',
keep add keep keep keep keep keep
 update sentiment analysis. done coding, need to polish text 
gluonbook/utils.py