Moreover, we introduce the geometric structures from both document and word sides as co-regularization.
our proposed unsupervised (or semi-supervised) sentiment classification framework can be mathematically formulated as solving the following optimization problem: where δ > 0 and γ > 0 are parameters which control the contributions of document space and word space geometric information, respectively.