Before revision:  In this paper, we propose a capsule network based model named CAPSAR (CAPsule network with Sentiment-Aspect Reconstruction) to improve aspect-term level sentiment analysis. CAPSAR adopts a hierarchical structure of capsules and learns interactive patterns between aspects and sentiments through packaged sentiment-aspect reconstruction  . Capsules in CAPSAR are capable of communicating with other capsulesthrough a sharing-weight routing algorithm.
After revision:  In this paper, we propose a capsule network based model named CAPSAR . In CAPSAR, sentiment categories are denoted by capsules and aspect term information is injected into sentiment capsules through a sentiment-aspect reconstruction . Capsules in CAPSAR are capable of communicating with other capsulesthrough a sharing-weight routing algorithm.