Modeling Sentiment Dependencies with Graph Convolutional Networks for Aspect-level Sentiment Classification
Table 3: The effect of GCN.
['Models', 'Restaurant Acc', 'Restaurant Macro-F1', 'Laptop Acc', 'Laptop Macro-F1']
It is clear to see that, comparing with GCN-reduced models, the two models with GCN achieve higher performance, respectively. The results verify that the modeling of the sentiment dependencies between different aspects with GCN plays a great role in predicting the sentiment polarities of aspects.