Given an additional distribution q(s | ν) that provides external information about the sentiment of neighbor ν, we regularize p(s | ν), as defined by our model, to be close (in the sense of KL-divergence) to q(s | ν).
we construct the following posterior regularizer: where H(q) is constant and p(s | ν) is defined as We use the combined sentiment lexicon of Hoyle et al.