In this paper, we attempt to address this problem by incorporating an affective lexicon as numerical influence values into affective neural network models through the framework of the Affect Control Theory (ACT).
by default, the hyper-parameters α, β and γ in Formula 1 and 2 are set equivalently to 0.33, and a is experimentally set to 1.15 as the optimized setting.