Combining Syntactic Information Enhancement and Graph Convolutional Network for Aspect-level Sentiment Analysis

In this paper, we suggest a way to address this issue by combining the Syntactic Attention Network with syntactic information augmentation. Syntactic Information Enhancement - Graph Convolutional Network (SIE-GCN) aspect-level sentiment analysis model. This model learns features from global context words at the sequence level and local context words connected to aspect words, Our goals are to better capture dependent syntactic information and to capture local syntactic information associated with aspect words.