Rag-tcgcn: aspect sentiment analysis based on residual attention gating and three-channel graph convolutional networks

HIGHLIGHTS

SUMMARY

With the successful application of the attention mechanism, some researchers combine the attention mechanism with a neural_network to complete various tasks, and have achieved good results. Later, a large body of work used attention mechanism-based neural_networks for sentiment analysis. The rapid development of graph neural_networks has attracted great interest, and a class of graph neural_networks has been designed to extract syntactic information from dependency trees due to its enormous ability to learn structural representations. Simple neural_network, attention-based neural_network, and graph convolution network are mainly used to divide the sentiment polarity. Deep learning . . .

 



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