IARM: Inter-Aspect Relation Modeling with Memory Networks in Aspect-Based Sentiment Analysis
Navonil Majumder, Soujanya Poria, Alexander F. Gelbukh, Md Shad Akhtar, Erik Cambria, Asif Ekbal · 2018
Sentiment analysis has immense implications in modern businesses through user-feedback mining.Large product-based enterprises like Samsung and Apple make crucial business decisions based on the large quantity of user reviews and suggestions available in different e-commerce websites and social media platforms like Amazon and Facebook.Sentiment analysis caters to these needs by summarizing user sentiment behind a particular object.In this paper, we present a novel approach of incorporating the neighboring aspects related information into the sentiment classification of the target aspect using memory networks.Our method outperforms the state of the art by 1.6% on average in two distinct domains.