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In this paper, we define and study a new opinionated text data analysis problem called Latent Aspect Rating Analysis (LARA), which aims at analyzing opinions expressed about an entity in an online review at the level of topical aspects to discover each individual reviewer's latent opinion on each aspect as well as the relative emphasis on different aspects when forming the overall judgment of the entity. We propose a novel probabilistic rating regression model to solve this new text miningdoi:10.1145/1835804.1835903 dblp:conf/kdd/WangLZ10 fatcat:saynhwdpanbxji5ntgq4dcgwxi