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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
| Date | Stars |
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| 2026-07-24 | 363 |
| 2026-07-25 | 363 |
| 2026-07-28 | 363 |
| 2026-07-30 | 363 |
| 2026-08-06 | 363 |
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# 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](http://nlpprogress.com/english/sentiment_analysis.html) in the near future, so stay tuned! > 近期将参考[NLP-progress](http://nlpprogress.com/english/sentiment_analysis.html)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]](https://www.aclweb.org/anthology/C16-1311)[[code]](https://drive.google.com/drive/folders/17RF8MZs456ov9MDiUYZp0SCGL6LvBQl6) - ***TD-LSTM TC-LSTM*** - **Attention-based LSTM for Aspect-level Sentiment Classification**. *Yequan Wang, Minlie Huang, Xiaoyan Zhu, Li Zhao*. (EMNLP 2016) [[paper]](https://aclweb.org/anthology/D16-1058) - ***ATAE-LSTM*** - **A Hierarchical Model of Reviews for Aspect-based Sentiment Analysis**. *Sebastian Ruder, Parsa Ghaffari, John G. Breslin*. (EMNLP 2016) [[paper]](https://arxiv.org/pdf/1609.02745.pdf) - ***H-LSTM*** - **Aspect Level Sentiment Classification with Deep Memory Network**. *Duyu Tang, Bing Qin, Ting Liu*. (EMNLP 2016) [[paper]](https://www.aclweb.org/anthology/D16-1021)[[code]](https://drive.google.com/drive/folders/1Hc886aivHmIzwlawapzbpRdTfPoTyi1U) - ***MemNet*** - **Interactive Attention Networks for Aspect-Level Sentiment Classification**. *Dehong Ma, Sujian Li, Xiaodong Zhang, Houfeng Wang*. (IJCAI 2017) [[paper]](https://www.ijcai.org/proceedings/2017/0568.pdf) - ***IAN*** - **Recurrent Attention Network on Memory for Aspect Sentiment Analysis**. *Peng Chen, Zhongqian Sun, Lidong Bing, Wei Yang*. (EMNLP 2017) [[paper]](https://www.aclweb.org/anthology/D17-1047)[[unofficial code]](https://github.com/lpq29743/RAM) - ***RAM*** - **Document-Level Multi-Aspect Sentiment Classification as Machine Comprehension**. *Yichun Yin, Yangqiu Song, Ming Zhang*. (EMNLP 2017) [[paper]](http://www.cse.ust.hk/~yqsong/papers/2017-EMNLP-AspectClassification.pdf) - **Attention Modeling for Targeted Sentiment**. *Jiangming Liu, Yue Zhang*. (EACL 2017) [[paper]](https://www.aclweb.org/anthology/E17-2091/) - ***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]](https://dl.acm.org/citation.cfm?doid=3132847.3133037) - **Aspect Based Sentiment Analysis with Gated Convolutional Networks**. *Wei Xue, Tao Li*. (ACL 2018) [[paper]](https://www.aclweb.org/anthology/P18-1234)[[code]](https://github.com/wxue004cs/GCAE) - ***GCAE*** - **Target-Sensitive Memory Networks for Aspect Sentiment Classification**. *Shuai Wang, Sahisnu Mazumder, Bing Liu, Mianwei Zhou, Yi Chang*. (ACL 2018) [[paper]](https://www.aclweb.org/anthology/P18-1088/) - ***TMN*** - **Transformation Networks for Target-Oriented Sentiment Classification**. *Xin Li, Lidong Bing, Wai Lam, Bei Shi*. (ACL 2018) [[paper]](https://aclweb.org/anthology/P18-1087)[[code]](https://github.com/lixin4ever/TNet) - ***TNet*** - **Exploiting Document Knowledge for Aspect-level Sentiment Classification**. *Ruidan He, Wee Sun Lee, Hwee Tou Ng, Daniel Dahlmeier*. (ACL 2018) [[paper]](https://arxiv.org/abs/1806.04346)[[code]](https://github.com/ruidan/Aspect-level-sentiment) - **Learning to Attend via Word-Aspect Associative Fusion for Aspect-Based Sentiment Analysis**. *Yi
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Read on GitHubWould you bet a product on this? Bounded 0–100 and slow moving.
matched fp:53fca99f38ccb995, topic:natural-language-processing, topic:sentiment-analysis, desc:sentiment analysis