BURMUDA

This is an implementation of BURMUDA(Bayesian Uncertainty-based Multi-source Unsupervised Domain Adaptation for Sentimental Analysis) in Pytorch.

Requirements

This part explains how to reproduce the BURMUDA sentiment analysis experiments in the paper.

• torch == 1.12.1
• torchmetrics==0.11.4
• Python == 3.10
• numpy==1.23.5
• pandas==1.5.3
• tensorboard==2.12.0
• tqdm==4.64.1
• matplotlib==3.7.0
• easydict==1.10
• rich==12.6.0
• scikit-learn==1.2.1
• scipy==1.10.1
• seaborn==0.12.2
• colorama==0.4.6

Training + Evaluation

Run

python main.py