Stars Are All You Need: A Distantly Supervised Pyramid Network for Unified Sentiment Analysis

Data for the Rating Prediction (RP) sentiment analysis task such as star reviews are readily available. However, data for aspect-category detection (ACD) and aspect-category sentiment analysis (ACSA) is often desired because of the fine-grained nature but are expensive to collect. In this work, we propose Unified Sentiment Analysis (Uni-SA) to understand aspect and review sentiment in a unified manner. Specifically, we propose a Distantly Supervised Pyramid Network (DSPN) to efficiently perform ACD, ACSA, and RP using only RP labels for …

analysis cs.cl data detection fine-grained nature network prediction pyramid reviews sentiment sentiment analysis star work