Aspect-level sentiment analysis aims to judge the emotional attitude of a specific aspect-level word according to the given context.The core problem is how to accurately represent the context of the aspect word.Different from the existing research which mainly focuses on the improvement of attention mechanism,this paper focuses on two aspects:word representation and context encoding.In terms of word representation,the location-enhanced word representation is obtained through the BERT model and position measurement formula.In terms of context encoding,GRU-CNN network is used to extract semantic...
