Aspect-based sentiment analysis via fusing multiple sources of textual knowledge

The aim of aspect-based sentiment analysis (ABSA) is to predict sentiment polarity of text toward a specific aspect. Although existing neural network models show promising performances on ABSA, their capabilities can be unsatisfactory in cases where the amount of training data is limited. In this paper, we propose a unified model which exploits and incorporates multiple sources of knowledge to improve its ability on ABSA. Structure knowledge is...