/FSACSA

Primary LanguagePython

FSACSA

This repository was used in our paper:

Few-shot aspect category sentiment analysis via meta-learning
Bin Liang, Xiang Li, Lin Gui, Yonghao Fu, Yulan He, Min Yang, Ruifeng Xu. ACM Transactions on Information Systems, 2023, 41(1): 1-31.

Please cite our paper and kindly give a star for this repository if you use this code.

Requirements

  • Python 3.6
  • PyTorch 1.0.0
  • SpaCy 2.0.18
  • numpy 1.15.4

Citation

The BibTex of the citation is as follow:

@article{liang2023few,
  title={Few-shot aspect category sentiment analysis via meta-learning},
  author={Liang, Bin and Li, Xiang and Gui, Lin and Fu, Yonghao and He, Yulan and Yang, Min and Xu, Ruifeng},
  journal={ACM Transactions on Information Systems},
  volume={41},
  number={1},
  pages={1--31},
  year={2023},
  publisher={ACM New York, NY}
}