Through formalizing sentiment distribution consistency as soft constraint, we propose a novel unsupervised model in the framework of Posterior Regularization (PR) to cluster aspectrelated phrases.
inspired by the intuition, we conduct interval parameter estimation for parameter p f j (sentiment distribution for phrase f j ) with limited observations, and thus get a confidence interval for p f j .