Overview

Code and datasets of our paper Aspect-oriented Opinion Alignment Network for Aspect-Based Sentiment Classification accepted by ECAI 2023.

Requirements

numpy>=1.13.3
torch>=0.4.0
transformers>=3.5.1,<4.0.0
sklearn

To install requirements, run

pip install -r requirements.txt

Training

To train the AOAN model, run:

python train.py

Credits

The code and datasets in this repository are based on ABSA-PyTorch .

Citation

Xueyi Liu, Rui Hou, Yanglei Gan, Da Luo, Changlin Li, Xiaojun Shi, Qiao Liu. "Aspect-oriented Opinion Alignment Network for Aspect-Based Sentiment Classification." In Proceedings of the 26th European Conference on Artificial Intelligence (ECAI), pp. 1552-1559. 2023.

@inproceedings{liu2023Aspect,
  title={Aspect-oriented Opinion Alignment Network for Aspect-Based Sentiment Classification},  
  author={Liu, Xueyi and Hou, Rui and Gan, Yanglei and Luo, Da and Li, Changlin and Shi, Xiaojun and Liu, Qiao},  
  booktitle={Proceedings of the 26th European Conference on Artificial Intelligence (ECAI)},  
  pages={1552--1559},  
  year={2023}  
}