Aspect opinion routing network with interactive attention for aspect-based sentiment classification

so that its output values are constantly regulated during training to generate feature representations of specific aspects related to opinion word. Based on the above, our approach identifies opinion words feature information related to specific aspect words in context. Experimental results demonstrate that the model outperforms 16 existing methods in terms of accuracy and macro-average F1 score on most of the benchmark datasets.