Source code for paper:

Requirements:

• Python 3.7
• PyTorch (stable version from https://pytorch.org/get-started/locally/)
• HuggingFace
  • Transformers (https://huggingface.co/docs/transformers/index)
  • Datasets (https://huggingface.co/docs/datasets/index)
• Scikit-learn (https://scikit-learn.org/stable/install.html)
• SciPy (https://scipy.org/install/)
• NumPy (https://numpy.org/install/)
• tqdm (https://github.com/tqdm/tqdm)

Model directory contains trained ORIS model.

Data directory contains filtered Twitter and Reddit data adapted from HuggingFace Datasets.

Original data:

• Twitter (https://huggingface.co/datasets/dair-ai/emotion)
• Reddit (https://huggingface.co/datasets/go_emotions)

Steps to replicate the experiments:

1. Create a virtual environment python -m venv venv
2. Activate virtual environment source venv/bin/activate
3. Install and verify all packages mentioned before: cat requirements.txt | xargs -I {} pip install {}
4. Make the experiments script executable: chmod +x run_experiments.sh
5. Run the script to get the result: ./run_experiments.sh