[2] Self- and inter-personal influences play critical role[3] in identifying some basic emotions, such as, fear, anger, joy, surprise, etc.
The task of ERC deals with detecting emotions expressed by the speakers in each utterance of the conversation.
ERC depends on three primary factors – the conversational context, interlocutors' mental state, and intent.
[13] Most of the contemporary methods for ERC are deep learning based and rely on the idea of latent speaker-state modeling.
[14] Methods to solve this task rely on language models-based question answering mechanism.