Restaurant ACC F1 pos F1 neg ACC F1 pos F1 neg ACC F1 pos F1 neg NBSVM-uni (Wang and Manning, 2012)    From the figure, we can see that the test accuracy drops from around 0.8 to 0.5 when the noise rate increases from 0 to 0.5, but our NETAB outperforms CNN.
following (Kim, 2014), We also randomly select 10% of the test data for validation to check the model during training.