Modeling Emotional Trajectories in Written Stories Utilizing
Transformers and Weakly-Supervised Learning
Modeling Emotional Trajectories in Written Stories Utilizing
Transformers and Weakly-Supervised Learning
Telling stories is an integral part of human communication which can evoke emotions and influence the affective states of the audience. Automatically modeling emotional trajectories in stories has thus attracted considerable scholarly interest. However, as most existing works have been limited to unsupervised dictionary-based approaches, there is no benchmark for …