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Attention-based long short-term memory (LSTM) networks have proven to be useful in aspect-level sentiment classification.
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Thien Hai Nguyen and Kiyoaki Shirai. 2015 · 2015
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SemEval-2015 task 12: Aspect based sentiment analysis
Maria Pontiki, Dimitrios Galanis, Haris Papageorgiou, Suresh Manandhar, and Ion Androutsopoulos. 2015 · 2015
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Duyu Tang, Bing Qin, and Ting Liu. 2015 · 2015
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Target-dependent Twitter sentiment classification with rich automatic features
Effective LSTMs for target-dependent sentiment classification
Duyu Tang, Bing Qin, Xiaocheng Feng, and Ting Liu. 2016a · 2016
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Aspect level sentiment classification with deep memory network
Duyu Tang, Bing Qin, and Ting Liu. 2016b · 2016
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Attention-based LSTM for aspect-level sentiment classification
Yequan Wang, Minlie Huang, Li Zhao, and Xiaoyan Zhu. 2016 · 2016
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Gated neural networks for targeted sentiment analysis
Meishan Zhang, Yue Zhang, and Duy-Tin Vo. 2016 · 2016
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Barret Zoph, Deniz Yuret, Jonathan May, and Kevin Knight. 2016 · 2016
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Recurrent attention network on memory for aspect sentiment analysis
Peng Chen, Zhongqian Sun, Lidong Bing, and Wei Yang. 2017 · 2017
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Lili Mou, Zhao Meng, Rui Yan, Ge Li, Yan Xu, Lu Zhang, and Zhi Jin. 2016 · 2016
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SemEval-2016 task 5: Aspect based sentiment analysis
Maria Pontiki, Dimitris Galanis, Haris Papageorgiou, Ion Androutsopoulos, Suresh Manandhar, Mohammed AL-Smadi, Mahmoud Al-Ayyoub, Yanyan Zhao, Bing Qin, Orphée De Clercq, Veronique Hoste, Marianna Apidianaki, Xavier Tannier, Natalia Loukachevitch, Evgeniy Kotelnikov, Núria Bel, Salud Maria Jiménez-Zafra, and Gülşen Eryiğit. 2016 · 2016
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An unsupervised neural attention model for aspect extraction
Ruidan He, Wee Sun Lee, Hwee Tou Ng, and Daniel Dahlmeier. 2017 · 2017
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Jiangming Liu and Yue Zhang. 2017 · 2017
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Unsupervised pretraining for sequence to sequence learning
Prajit Ramachandran, Peter J. Liu, and Quoc V. Le. 2017 · 2017
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