#DialogueRNN

This repository presents state-of-the-art emotion recognition models in conversational contexts, featuring frameworks such as COSMIC, DialogGCN, and DialogueRNN. Utilizing commonsense reasoning, graph-based approaches, and recurrent networks, these models are designed to detect emotions effectively. The project also includes tools for emotion cause analysis across datasets like IEMOCAP, MELD, and EmoryNLP, aiming to facilitate understanding of inter-party dynamics and context-related challenges in dialogues, thereby contributing to empathetic dialogue creation.