A Unified Model for Opinion Target Extraction and Target Sentiment Prediction

Understand

Target-based sentiment analysis involves opinion target extraction and target sentiment classification.

• However, most of the existing works usually studied one of these two sub-tasks alone, which hinders their practical use.
• This paper aims to solve the complete task of target-based sentiment analysis in an end-to-end fashion, and presents a novel unified model which applies a unified tagging scheme.
• Our framework involves two stacked recurrent neural networks: The upper one predicts the unified tags to produce the final output results of the primary target-based sentiment analysis; The lower one performs an auxiliary target boundary prediction aiming at guiding the upper network to improve the performance of the primary task.