When implementing our approach, we empirically set the maximum iteration number K as 5, γ in Equation 3 as 0.1 on LAPTOP data set, 0.5 on REST data set and 0.1 on TWITTER data set, respectively.
at the k-th training iteration, we adopt the following steps to deal with (x, t, y): In Step 1, we first apply the model parameters θ (k−1) of the previous iteration to generate the aspect representation v(t) (Line 9).