To avoid this kind of error, we add a constraint that an aspect term should come from sentimental sentence.
s-LsTM learns the sentimental representation h s T of the sentence and then feeds it in aspect prediction as a soft constraint: On the whole, our proposed MIN framework has three LsTMs and each of them is differentiable.