Modeling Aspect Sentiment Coherency via Local Sentiment Aggregation: A Novel Approach for Improved Aspect-Based Sentiment Analysis

Aspect sentiment coherency is a prevalent yet underexplored phenomenon in aspect-based sentiment analysis, where adjacent aspects often share similar sentiments. This work proposes a novel local sentiment aggregation (LSA) paradigm to effectively model aspect sentiment coherency, leading to significant improvements in aspect sentiment classification performance.