https://github.com/lixin4ever/tnet

Transformation Networks for Target-Oriented Sentiment Classification (ACL 2018)
https://github.com/lixin4ever/tnet

aspect-based-sentiment-analysis aspect-sentiment-classification targeted-sentiment-classification

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Transformation Networks for Target-Oriented Sentiment Classification (ACL 2018)

• Host: GitHub
• URL: https://github.com/lixin4ever/tnet
• Owner: lixin4ever
• Created: 2018-04-23T08:41:27.000Z (almost 7 years ago)
• Default Branch: master
• Last Pushed: 2018-07-22T02:42:18.000Z (over 6 years ago)
• Last Synced: 2024-11-13T23:31:14.304Z (3 months ago)
• Topics: aspect-based-sentiment-analysis, aspect-sentiment-classification, targeted-sentiment-classification
• Homepage: https://arxiv.org/abs/1805.01086
• Size: 582 KB
• Stars: 141
• Watchers: 7
• Forks: 31
• Open Issues: 6
• Metadata Files:
  • Readme: README.md

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README

        
# TNet

**T**ransformation **Net**works for Target-Oriented Sentiment Classification. (Currently, code is only available upon request)

## Requirements

* Python 3.6

* Theano 0.9.0

* numpy 1.13.1

* pygpu 0.6.9

* GloVe.840B.300d

## Running

```

THEANO_FLAGS="device=cuda0, optimizer=fast_compile" python main.py -ds_name [YOUR_DATASET_NAME] -connection_type [AS|LF]

```

## Environment

* OS: REHL Server 6.4 (Santiago)

* GPU: NVIDIA GTX 1080

* CUDA: 9.2

* cuDNN: v7.1.4

## Citation

If the code is used in your research, please star our repo and cite our paper as follows:

```

@inproceedings{li2018transformation,

  title={Transformation Networks for Target-Oriented Sentiment Classification},

  author={Li, Xin and Bing, Lidong and Lam, Wai and Shi, Bei},

  booktitle={ACL},

  pages={946--956},

  year={2018}

}

```