| Joint sentiment/topic model for sentiment analysis C Lin, Y He Proceedings of the 18th ACM conference on Information and knowledge …, 2009 | 1324 | 2009 |
| Improving sentiment analysis via sentence type classification using BiLSTM-CRF and CNN T Chen, R Xu, Y He, X Wang Expert Systems with Applications 72, 221-230, 2017 | 843 | 2017 |
| Semantic sentiment analysis of twitter H Saif, Y He, H Alani The Semantic Web–ISWC 2012: 11th International Semantic Web Conference …, 2012 | 785 | 2012 |
| Contextual semantics for sentiment analysis of Twitter H Saif, Y He, M Fernandez, H Alani Information Processing & Management 52 (1), 5-19, 2016 | 577 | 2016 |
| Weakly supervised joint sentiment-topic detection from text C Lin, Y He, R Everson, S Ruger IEEE Transactions on Knowledge and Data engineering 24 (6), 1134-1145, 2011 | 441 | 2011 |
| On stopwords, filtering and data sparsity for sentiment analysis of twitter H Saif, M Fernandez, Y He, H Alani | 392 | 2014 |
| Evaluation datasets for Twitter sentiment analysis: a survey and a new dataset, the STS-Gold H Saif, M Fernandez, Y He, H Alani | 373 | 2013 |
| Alleviating data sparsity for twitter sentiment analysis H Saif, Y He, H Alani CEUR Workshop Proceedings (CEUR-WS. org), 2012 | 302 | 2012 |
| Approaches to automated detection of cyberbullying: A survey S Salawu, Y He, J Lumsden IEEE Transactions on Affective Computing 11 (1), 3-24, 2017 | 273 | 2017 |
| Self-training from labeled features for sentiment analysis Y He, D Zhou Information Processing & Management 47 (4), 606-616, 2011 | 272 | 2011 |
| Connecting social media to e-commerce: Cold-start product recommendation using microblogging information WX Zhao, S Li, Y He, EY Chang, JR Wen, X Li IEEE Transactions on Knowledge and Data Engineering 28 (5), 1147-1159, 2015 | 264 | 2015 |
| Stance classification with target-specific neural attention networks J Du, R Xu, Y He, L Gui 26th International Joint Conference on Artificial Intelligence, IJCAI 2017 …, 2017 | 246 | 2017 |
| Computational methods for traditional Chinese medicine: a survey S Lukman, Y He, SC Hui Computer methods and programs in biomedicine 88 (3), 283-294, 2007 | 227 | 2007 |
| We know what you want to buy: a demographic-based system for product recommendation on microblogs XW Zhao, Y Guo, Y He, H Jiang, Y Wu, X Li Proceedings of the 20th ACM SIGKDD international conference on Knowledge …, 2014 | 218 | 2014 |
| Automatically extracting polarity-bearing topics for cross-domain sentiment classification Y He, C Lin, H Alani | 205 | 2011 |
| Semantic processing using the hidden vector state model Y He, S Young Computer speech & language 19 (1), 85-106, 2005 | 201 | 2005 |
| A question answering approach to emotion cause extraction L Gui, J Hu, Y He, R Xu, Q Lu, J Du arXiv preprint arXiv:1708.05482, 2017 | 184 | 2017 |
| Adverse drug reaction classification with deep neural networks T Huynh, Y He, A Willis, S Rüger Coling, 2016 | 167 | 2016 |
| Topic-driven and knowledge-aware transformer for dialogue emotion detection L Zhu, G Pergola, L Gui, D Zhou, Y He arXiv preprint arXiv:2106.01071, 2021 | 156 | 2021 |
| Mining a web citation database for author co-citation analysis Y He, SC Hui Information processing & management 38 (4), 491-508, 2002 | 154 | 2002 |
Lin GuiAssistant Professor, King's College LondonVerificeret mail på kcl.ac.uk
