We propose the weakly supervised Multi-Experts Model (MEM) for analyzing the semantic orientation of opinions expressed in natural language reviews.
to most prior work, MEM predicts both opinion polarity and opinion strength at the level of individual sentences; such fine-grained analysis helps to understand better why users like or dislike the entity under review.