| User-level sentiment analysis incorporating social networks C Tan, L Lee, J Tang, L Jiang, M Zhou, P Li Proceedings of the 17th ACM SIGKDD international conference on Knowledge …, 2011 | 484 | 2011 |
| Winning arguments: Interaction dynamics and persuasion strategies in good-faith online discussions C Tan, V Niculae, C Danescu-Niculescu-Mizil, L Lee Proceedings of the 25th international conference on world wide web, 613-624, 2016 | 205 | 2016 |
| The effect of wording on message propagation: Topic-and author-controlled natural experiments on Twitter C Tan, L Lee, B Pang Proceedings of ACL, 2014 | 162 | 2014 |
| Social action tracking via noise tolerant time-varying factor graphs C Tan, J Tang, J Sun, Q Lin, F Wang Proceedings of the 16th ACM SIGKDD international conference on Knowledge …, 2010 | 120 | 2010 |
| On the interplay between social and topical structure DM Romero, C Tan, J Ugander Proc. 7th International AAAI Conference on Weblogs and Social Media (ICWSM), 2013 | 113 | 2013 |
| Joint bilingual sentiment classification with unlabeled parallel corpora B Lu, C Tan, C Cardie, BK Tsou Proceedings of the 49th annual meeting of the association for computational …, 2011 | 96 | 2011 |
| Efficient document clustering via online nonnegative matrix factorizations F Wang, P Li, C König Proceedings of the 11th SIAM Conference on Data Mining, 2011 | 90 | 2011 |
| Explaining machine learning classifiers through diverse counterfactual explanations RK Mothilal, A Sharma, C Tan Proceedings of the 2020 Conference on Fairness, Accountability, and …, 2020 | 75 | 2020 |
| All who wander: On the prevalence and characteristics of multi-community engagement C Tan, L Lee Proceedings of the 24th International Conference on World Wide Web, 1056-1066, 2015 | 75 | 2015 |
| Does bad news go away faster? S Wu, C Tan, J Kleinberg, M Macy Proceedings of the International AAAI Conference on Web and Social Media 5 (1), 2011 | 74 | 2011 |
| Dynamic entity representations in neural language models Y Ji, C Tan, S Martschat, Y Choi, NA Smith arXiv preprint arXiv:1708.00781, 2017 | 66 | 2017 |
| Selecting directors using machine learning I Erel, LH Stern, C Tan, MS Weisbach National Bureau of Economic Research Working Paper Series, 2018 | 57 | 2018 |
| Creative writing with a machine in the loop: Case studies on slogans and stories E Clark, AS Ross, C Tan, Y Ji, NA Smith 23rd International Conference on Intelligent User Interfaces, 329-340, 2018 | 53 | 2018 |
| Neural models for documents with metadata D Card, C Tan, NA Smith arXiv preprint arXiv:1705.09296, 2017 | 50* | 2017 |
| To each his own: personalized content selection based on text comprehensibility C Tan, E Gabrilovich, B Pang Proceedings of the fifth ACM international conference on Web search and data …, 2012 | 43 | 2012 |
| Science, askscience, and badscience: On the coexistence of highly related communities J Hessel, C Tan, L Lee Proceedings of the International AAAI Conference on Web and Social Media 10 (1), 2016 | 41 | 2016 |
| On human predictions with explanations and predictions of machine learning models: A case study on deception detection V Lai, C Tan Proceedings of the Conference on Fairness, Accountability, and Transparency …, 2019 | 39 | 2019 |
| On optimization of expertise matching with various constraints W Tang, J Tang, T Lei, C Tan, B Gao, T Li Neurocomputing 76 (1), 71-83, 2012 | 39 | 2012 |
| Expertise matching via constraint-based optimization W Tang, J Tang, C Tan 2010 IEEE/WIC/ACM International Conference on Web Intelligence and …, 2010 | 39 | 2010 |
| Hedge detection as a lens on framing in the GMO debates: A position paper E Choi, C Tan, L Lee, C Danescu-Niculescu-Mizil, J Spindel arXiv preprint arXiv:1206.1066, 2012 | 31 | 2012 |
Lillian LeeProfessor of Computer Science, Cornell University. Pls see my homepg for data+updates+slides+etcDirección de correo verificada de cs.cornell.edu
