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

arxiv.org/abs/1805.01086

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Name		Name	Last commit message	Last commit date
Latest commit History 15 Commits
dataset		dataset
embeddings		embeddings
.gitignore		.gitignore
README.md		README.md
func_words.txt		func_words.txt

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README

TNet

Transformation Networks 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}
}

About

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

arxiv.org/abs/1805.01086

Topics

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

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