This repo is no longer maintained! Please go to: https://github.com/songyouwei/ABSA-PyTorch
Sentiment Analysis with Deep Learning models. Implemented with Tensorflow and Keras.
使用深度学习模型解决情感分析问题。
- Tensorflow 1.7
- Python 3.6
- Pre-trained word vectors (See
utils.py
for more detail)- Download pre-trained Twitter word vectors here,
- extract the glove.twitter.27B.zip and glove.42B.300d.zip to the root directory
python ram.py
tensorboard --logdir=./ram_logs
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]
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]
Tang, Duyu, Bing Qin, and Ting Liu. "Aspect level sentiment classification with deep memory network." arXiv preprint arXiv:1605.08900 (2016). [pdf]
Ma, Dehong, et al. "Interactive Attention Networks for Aspect-Level Sentiment Classification." arXiv preprint arXiv:1709.00893 (2017).
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]
MIT License