| Ensemble of feature sets and classification algorithms for sentiment classification R Xia, C Zong, S Li Information sciences 181 (6), 1138-1152, 2011 | 826 | 2011 |
| Semi-supervised learning for imbalanced sentiment classification S Li, Z Wang, G Zhou, SYM Lee IJCAI proceedings-international joint conference on artificial intelligence …, 2011 | 268 | 2011 |
| Emotion cause detection with linguistic constructions Y Chen, SYM Lee, S Li, CR Huang Proceedings of the 23rd International Conference on Computational …, 2010 | 242 | 2010 |
| Modeling both Context-and Speaker-Sensitive Dependence for Emotion Detection in Multi-speaker Conversations. D Zhang, L Wu, C Sun, S Li, Q Zhu, G Zhou IJCAI, 5415-5421, 2019 | 238 | 2019 |
| Multi-modal graph fusion for named entity recognition with targeted visual guidance D Zhang, S Wei, S Li, H Wu, Q Zhu, G Zhou Proceedings of the AAAI conference on artificial intelligence 35 (16), 14347 …, 2021 | 194 | 2021 |
| Sentiment classification and polarity shifting S Li, SYM Lee, Y Chen, CR Huang, G Zhou Proceedings of the 23rd international conference on computational …, 2010 | 179 | 2010 |
| A framework of feature selection methods for text categorization S Li, R Xia, C Zong, CR Huang Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL …, 2009 | 176 | 2009 |
| Multi-domain sentiment classification S Li, C Zong Proceedings of ACL-08: HLT, short papers, 257-260, 2008 | 160 | 2008 |
| Employing personal/impersonal views in supervised and semi-supervised sentiment classification S Li, CR Huang, G Zhou, SYM Lee Proceedings of the 48th annual meeting of the association for computational …, 2010 | 158 | 2010 |
| Aspect sentiment classification with both word-level and clause-level attention networks. J Wang, J Li, S Li, Y Kang, M Zhang, L Si, G Zhou IJCAI 2018, 4439-4445, 2018 | 122 | 2018 |
| Joint multi-modal aspect-sentiment analysis with auxiliary cross-modal relation detection X Ju, D Zhang, R Xiao, J Li, S Li, M Zhang, G Zhou Proceedings of the 2021 conference on empirical methods in natural language …, 2021 | 112 | 2021 |
| Active Learning for Cross-domain Sentiment Classification. S Li, Y Xue, Z Wang, G Zhou IJCAI, 2127-2133, 2013 | 107 | 2013 |
| Active Learning for Imbalanced Sentiment Classification S Li, S Ju, G Zhou, X Li EMNLP-2012, 2012 | 96 | 2012 |
| End-to-end emotion-cause pair extraction with graph convolutional network Y Chen, W Hou, S Li, C Wu, X Zhang Proceedings of the 28th international conference on computational …, 2020 | 91 | 2020 |
| DETECTING EMOTION CAUSES WITH A LINGUISTIC RULE‐BASED APPROACH SYM Lee, Y Chen, CR Huang, S Li Computational Intelligence, 2012 | 86 | 2012 |
| Joint learning for emotion classification and emotion cause detection Y Chen, W Hou, X Cheng, S Li Proceedings of the 2018 conference on empirical methods in natural language …, 2018 | 83 | 2018 |
| An emotion cause corpus for chinese microblogs with multiple-user structures X Cheng, Y Chen, B Cheng, S Li, G Zhou ACM Transactions on Asian and Low-Resource Language Information Processing …, 2017 | 81 | 2017 |
| Sentence-level emotion classification with label and context dependence S Li, L Huang, R Wang, G Zhou Proceedings of the 53rd Annual Meeting of the Association for Computational …, 2015 | 81 | 2015 |
| Emotion cause events: Corpus construction and analysis. SYM Lee, Y Chen, S Li, CR Huang LREC, 2010 | 70 | 2010 |
| Aspect sentiment classification with document-level sentiment preference modeling X Chen, C Sun, J Wang, S Li, L Si, M Zhang, G Zhou Proceedings of the 58th Annual Meeting of the Association for Computational …, 2020 | 68 | 2020 |
Guodong ZhouSoochow University, ChinaPatvirtintas el. paštas suda.edu.cn