RDGCN

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Code for "RDGCN: Reinforced Dependency Graph Convolutional Network for Aspect-based Sentiment Analysis"

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### 1. Description 💬
```
Code for "RDGCN: Reinforced Dependency Graph Convolutional Network for Aspect-based Sentiment Analysis"
```

### 2. Requirements 📫
- bzip2==1.0.8
- c-ares==1.19.0
- fonttools==4.39.3
- pyg==2.2.0
- python==3.9.16
- numpy==1.23.5
- pytorch==1.12.0
- pandas==1.5.1

### 3. Preparation 🌱
```
1. Download and unzip GloVe vectors (glove.840B.300d.zip) from https://nlp.stanford.edu/projects/glove/ and put it into ./glove/

2. Download the BERT encoder (bert-base-uncased) from https://github.com/huggingface/transformers/ and put it into ./bert/

3. Download datasets (Rest14, Laptop, and Twitter) from https://github.com/CCChenhao997/DualGCN-ABSA/ and put them into ./data/
```

### 4. Example 😄
```
1. python data_preprocessor.py

2. python main.py
```

### 5. Links ⚡
- Glove: https://nlp.stanford.edu/projects/glove/
- BERT: https://github.com/huggingface/transformers/
- Datasets: https://github.com/zhangzheng1997/SSEGCN-ABSA/
- Stanza Parser: https://stanfordnlp.github.io/stanza/

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RDGCN

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