SEGCN-ABSA

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Code for Paper "Store, share and transfer: Learning and updating sentiment knowledge for aspect-based sentiment analysis", Information Sciences

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# **SEGCN-ABSA**

Code for Paper "Store, share and transfer: Learning and updating sentiment knowledge for aspect-based sentiment analysis"

*Information Sciences*, 2023, Volume 635, Pages 151-168

Yongqiang Zheng, Xia Li and Jian-Yun Nie

## **Model**
![](https://raw.githubusercontent.com/gdufsnlp/SEGCN-ABSA/main/model.png)

## **Requirements**
- python==3.7.13
- torch==1.11.0+cu113
- transformers==4.2.2
- scikit-learn==1.0.2

## **Datasets**
Download datasets from these links and put them in the corresponding folder:
- [Twitter](https://goo.gl/5Enpu7)
- [Lap14](https://alt.qcri.org/semeval2014/task4)
- [Rest14](https://alt.qcri.org/semeval2014/task4)
- [Rest15](https://alt.qcri.org/semeval2015/task12/)
- [Rest16](https://alt.qcri.org/semeval2016/task5/)

## **Usage**
1. Download GloVe vectors
```
mkdir preprocess
wget https://nlp.stanford.edu/data/glove.840B.300d.zip
unzip glove.840d.300d.zip
mv glove.840d.300d.zip preprocess/
rm glove.840d.300d.zip
```
2. Download Bing Liu's opinion lexicon
```
wget http://www.cs.uic.edu/\~liub/FBS/opinion-lexicon-English.rar
sudo apt-get install unrar
unrar x opinion-lexicon-English.rar
mv opinion-lexicon-English lexicon
```
3. Generate sentiment-enhanced graph
```
python graph.py
```

## **Training**
```
bash train.sh
```

## **Credits**
The code in this repository is based on [ASGCN](https://github.com/GeneZC/ASGCN).

## **Citation**
```bibtex
@article{zheng2023store,
    title = {Store, share and transfer: Learning and updating sentiment knowledge for aspect-based sentiment analysis},
    author = {Yongqiang Zheng and Xia Li and Jian-Yun Nie},
    journal = {Information Sciences},
    volume = {635},
    pages = {151-168},
    year = {2023},
    publisher={Elsevier}
    issn = {0020-0255},
    doi = {https://doi.org/10.1016/j.ins.2023.03.102},
    url = {https://www.sciencedirect.com/science/article/pii/S0020025523004279},
}
```

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