Adding External Features to Convolutional Neural Network for Aspect-based Sentiment Analysis

Aspect-based sentiment analysis currently attracts much attention from researchers in sentiment analysis and opinion mining fields. In this problem we simultaneously solve both tasks of aspect detection and sentiment detection. This paper proposes a Convolutional Neural Network based model in which we integrate extended rich information features into the basic CNN model. Our experiment is conducted on the aspect-based sentiment analysis task of Semeval 2016 and achieves the best results in comparison with previous studies.