Classical approaches to sentiment classification exploit only textual features in a given review and are not aware of the personality of the user or the public sentiment toward the target product. In this paper, we propose a model that can accurately estimate the sentiment polarity by referring to the user leniency and product popularity computed during testing. For decoding with this model, we...
