declare-lab/conv-emotion
A PyTorch research repository implementing various neural architectures for recognizing emotions in conversation contexts.
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This repository provides implementations of multiple deep learning architectures for Emotion Recognition in Conversations (ERC), including DialogueRNN, bcLSTM, DialogueGCN, and COSMIC. The models use LSTM layers, memory networks, and graph neural networks to capture speaker dependencies and context in conversational data, trained on dialogue datasets with PyTorch.
Frequently asked
- What is declare-lab/conv-emotion?
- A PyTorch research repository implementing various neural architectures for recognizing emotions in conversation contexts.
- Is conv-emotion open source?
- Yes — declare-lab/conv-emotion is open source, released under the MIT license.
- What language is conv-emotion written in?
- declare-lab/conv-emotion is primarily written in Python.
- How popular is conv-emotion?
- declare-lab/conv-emotion has 1.5k stars on GitHub.
- Where can I find conv-emotion?
- declare-lab/conv-emotion is on GitHub at https://github.com/declare-lab/conv-emotion.