ABSA-PyTorch

Aspect Based Sentiment Analysis with PyTorch.

基于方面的情感分析，使用PyTorch实现。

Dependencies

• PyTorch 0.4.0
• NumPy 1.13.3
• tensorboardX 1.2
• Python 3.6
• GloVe pre-trained word vectors (See data_utils.py for more detail)
  • Download pre-trained word vectors here,
  • extract the glove.twitter.27B.zip and glove.42B.300d.zip to the root directory

An usage example

Training

python ian.py

See the training process (needs to install TensorFlow)

tensorboard --logdir=./ian_logs

Implemented models

RAM (ram.py)

Chen, Peng, et al. "Recurrent Attention Network on Memory for Aspect Sentiment Analysis." Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing. 2017. [pdf]

MemNet (memnet.py)

Tang, Duyu, Bing Qin, and Ting Liu. "Aspect level sentiment classification with deep memory network." arXiv preprint arXiv:1605.08900 (2016). [pdf]

IAN (ian.py)

Ma, Dehong, et al. "Interactive Attention Networks for Aspect-Level Sentiment Classification." arXiv preprint arXiv:1709.00893 (2017). [pdf]

TD-LSTM (td_lstm.py)

Tang, Duyu, et al. "Effective LSTMs for Target-Dependent Sentiment Classification." Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers. 2016. [pdf]

LSTM (lstm.py)

Reviews / Surveys

Zhang, Lei, Shuai Wang, and Bing Liu. "Deep Learning for Sentiment Analysis: A Survey." arXiv preprint arXiv:1801.07883 (2018). [pdf]

Young, Tom, et al. "Recent trends in deep learning based natural language processing." arXiv preprint arXiv:1708.02709 (2017). [pdf]

Licence

MIT License