This project provides various machine learning architectures for identifying emotions within conversational dialogue.
This repository offers Python implementations of several deep learning models, including LSTM, Memory Networks, DialogueRNN, and COSMIC, designed for recognizing emotions in conversational text. You'll find specific model code in directories like `./COSMIC` and `./DialogueGCN-mianzhang`, alongside solutions for related tasks such as emotion cause recognition.
This project provides various machine learning architectures for identifying emotions within conversational dialogue.
Researchers and developers focused on natural language processing, particularly those building conversational AI with emotion detection capabilities, will find this useful.
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For those enquiring about how to extract visual and audio features, please check this out: https://github.com/soujanyaporia/MUStARD
COSMIC is the best performing model in this repo and please visit the links below to compare the models on different ERC datasets.
