ABSAPapers
Worth-reading papers and related awesome resources on aspect-based sentiment analysis (ABSA). 值得一读的方面级情感分析论文与相关资源集合
Install / Use
/learn @ZhengZixiang/ABSAPapersREADME
ABSAPapers
Worth-reading papers and related awesome resources on aspect-based sentiment analysis (ABSA). This repository mainly focused on aspect-term sentiment classification (ATSC). ABSA task contains five fine-grained subtasks:
- Aspect Term Sentiment Classification (ATSC)
- Aspect Term Extraction (ATE)
- Aspect Category Sentiment Classification (ACSC)
- Aspect Category Detection (ACD)
- Opniton Term Extraction (OTE)
Suggestions about adding papers, repositories and other resource are welcomed!
值得一读的方面级情感分析论文与相关资源集合。这里主要关注方面词(aspect-term)的情感分类。具体来说,方面级情感分析包括方面词情感分类、方面词抽取、方面类目情感分类、方面类目抽取、观点词抽取五个子任务。
欢迎新增论文、代码仓库与其他资源等建议!
We will add a score table of representative and latest ABSA models like NLP-progress in the near future, so stay tuned!
近期将参考NLP-progress的形式增加一个数据集分值表,敬请期待!
Paper
- Effective LSTMs for Target-Dependent Sentiment Classification. Duyu Tang, Bing Qin, Xiaocheng Feng, Ting Liu. (COLING 2016) [paper][code] - TD-LSTM TC-LSTM
- Attention-based LSTM for Aspect-level Sentiment Classification. Yequan Wang, Minlie Huang, Xiaoyan Zhu, Li Zhao. (EMNLP 2016) [paper] - ATAE-LSTM
- A Hierarchical Model of Reviews for Aspect-based Sentiment Analysis. Sebastian Ruder, Parsa Ghaffari, John G. Breslin. (EMNLP 2016) [paper] - H-LSTM
- Aspect Level Sentiment Classification with Deep Memory Network. Duyu Tang, Bing Qin, Ting Liu. (EMNLP 2016) [paper][code] - MemNet
- Interactive Attention Networks for Aspect-Level Sentiment Classification. Dehong Ma, Sujian Li, Xiaodong Zhang, Houfeng Wang. (IJCAI 2017) [paper] - IAN
- Recurrent Attention Network on Memory for Aspect Sentiment Analysis. Peng Chen, Zhongqian Sun, Lidong Bing, Wei Yang. (EMNLP 2017) [paper][unofficial code] - RAM
- Document-Level Multi-Aspect Sentiment Classification as Machine Comprehension. Yichun Yin, Yangqiu Song, Ming Zhang. (EMNLP 2017) [paper]
- Attention Modeling for Targeted Sentiment. Jiangming Liu, Yue Zhang. (EACL 2017) [paper] - BiLSTM-ATT-G
- Aspect-level Sentiment Classification with HEAT (HiErarchical ATtention) Network. Jiajun Cheng, Shenglin Zhao, Jiani Zhang, Irwin King, Xin Zhang, Hui Wang. (CIKM 2017) [paper]
- Aspect Based Sentiment Analysis with Gated Convolutional Networks. Wei Xue, Tao Li. (ACL 2018) [paper][code] - GCAE
- Target-Sensitive Memory Networks for Aspect Sentiment Classification. Shuai Wang, Sahisnu Mazumder, Bing Liu, Mianwei Zhou, Yi Chang. (ACL 2018) [paper] - TMN
- Transformation Networks for Target-Oriented Sentiment Classification. Xin Li, Lidong Bing, Wai Lam, Bei Shi. (ACL 2018) [paper][code] - TNet
- Exploiting Document Knowledge for Aspect-level Sentiment Classification. Ruidan He, Wee Sun Lee, Hwee Tou Ng, Daniel Dahlmeier. (ACL 2018) [paper][code]
- Learning to Attend via Word-Aspect Associative Fusion for Aspect-Based Sentiment Analysis. Yi Tay, Luu Anh Tuan, Siu Cheung Hui. (AAAI 2018) [paper] - AF-LSTM
- Targeted Aspect-Based Sentiment Analysis via Embedding Commonsense Knowledge into an Attentive LSTM. Yukun Ma, Haiyun Peng, Erik Cambria. (AAAI 2018) [paper][code] - Sentic LSTM
- A Position-aware Bidirectional Attention Network for Aspect-level Sentiment Analysis. Shuqin Gu, Lipeng Zhang, Yuexian Hou, Yin Song. (COLING 2018) [paper][code] - PBAN
- Enhanced Aspect Level Sentiment Classification with Auxiliary Memory. Peisong Zhu, Tieyun Qian. (COLING 2018) [paper] - DAuM
- Document-level Multi-aspect Sentiment Classification by Jointly Modeling Users, Aspects, and Overall Ratings. Junjie Li, Haitong Yang, Chengqing Zong. (COLING 2018) [paper] - HUARN
- Effective Attention Modeling for Aspect-Level Sentiment Classification. Ruidan He, Wee Sun Lee, Hwee Tou Ng, Daniel Dahlmeier. (COLING 2018) [paper]
- Modeling Inter-Aspect Dependencies for Aspect-Based Sentiment Analysis. Devamanyu Hazarika, Soujanya Poria, Prateek Vij, Gangeshwar Krishnamurthy, Erik Cambria, Roger Zimmermann. (NAACL 2018) [paper][unofficial code]
- Recurrent Entity Networks with Delayed Memory Update for Targeted Aspect-Based Sentiment Analysis. Fei Liu, Trevor Cohn, Timothy Baldwin. (NAACL 2018) [paper] [code]
- Content Attention Model for Aspect Based Sentiment Analysis. Qiao Liu, Haibin Zhang, Yifu Zeng, Ziqi Huang, Zufeng Wu. (WWW 2018) [paper][code] - Cabasc
- Aspect Level Sentiment Classification with Attention-over-Attention Neural Networks. Binxuan Huang, Yanglan Ou, Kathleen M. Carley. (SBP-BRiMS 2018) [paper] - AOA
- Aspect Sentiment Classification with both Word-level and Clause-level Attention Networks. Jingjing Wang, Jie Li, Shoushan Li, Yangyang Kang, Min Zhang, Luo Si, Guodong Zhou. (IJCAI 2018) [paper]
- IARM: Inter-Aspect Relation Modeling with Memory Networks in Aspect-Based Sentiment Analysis. Navonil Majumder, Soujanya Poria, Alexander F. Gelbukh, Md. Shad Akhtar, Erik Cambria, Asif Ekbal. (EMNLP 2018) [paper][code]
- Multi-grained Attention Network for Aspect-Level Sentiment Classification. Feifan Fan, Yansong Feng, Dongyan Zhao. (EMNLP 2018) [paper] - MGAN
- Parameterized Convolutional Neural Networks for Aspect Level Sentiment Classification. Binxuan Huang, Kathleen M. Carley. (EMNLP 2018) [paper] - PCNN
- Left-Center-Right Separated Neural Network for Aspect-based Sentiment Analysis with Rotatory Attention. Shiliang Zheng, Rui Xia. (CoRR 2018) [paper] - LCR-Rot
- Syntax-Aware Aspect-Level Sentiment Classification with Proximity-Weighted Convolution Network. Chen Zhang, Qiuchi Li, Dawei Song. (SIGIR 2019) [paper][code] - PWCN
- Aspect-based Sentiment Classification with Aspect-specific Graph Convolutional Networks. Chen Zhang, Qiuchi Li, Dawei Song. (EMNLP 2019) [paper][code] - ASGCN
- Aspect-Level Sentiment Analysis Via Convolution over Dependency Tree. Kai Sun, Richong Zhang, Samuel Mensah, Yongyi Mao, Xudong Liu. (EMNLP 2019) [paper][code] - CDT-ABSA
- A Novel Aspect-Guided Deep Transition Model for Aspect Based Sentiment Analysis. Yunlong Liang, Fandong Meng, Jinchao Zhang, Jinan Xu, Yufeng Chen, Jie Zhou. (EMNLP 2019) [paper][code] - AGDT
- CAN: Constrained Attention Networks for Multi-Aspect Sentiment. Mengting Hu, Shiwan Zhao, Li Zhang, Keke Cai, Zhong Su, Renhong Cheng, Xiaowei Shen. (EMNLP 2019) [paper] - CAN
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding. Jacob Devlin, Ming-Wei Chang, Kenton Lee, Kristina Toutanova. (NAACL 2019) [paper] - BERT-SPC
- BERT Post-Training for Review Reading Comprehension and Aspect-based Sentiment Analysis. Hu Xu, Bing Liu, Lei Shu, Philip S. Yu. (NAACL 2019) [paper][code] - BERT-PT
- Utilizing BERT for Aspect-Based Sentiment Analysis via Constructing Auxiliary Sentence. Chi Sun, Luyao Huang, Xipeng Qiu. (NAACL 2019) [paper][code]
- Attentional Encoder Network for Targeted Sentiment Classification. Youwei Song, Jiahai Wang, Tao Jiang, Zhiyue Liu, Yanghui Rao. (CoRR 2019) [paper][code] - AEN-BERT
- LCF: A Local Context Focus Mechanism for Aspect-Based Sentiment Classification. *Biqing Zeng, Heng Yang 2, R
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Audited on Mar 23, 2026
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