| Enhanced sentiment learning using twitter hashtags and smileys D Davidov, O Tsur, A Rappoport Coling 2010: Posters, 241-249, 2010 | 1134 | 2010 |
| Semi-supervised recognition of sarcasm in Twitter and Amazon D Davidov, O Tsur, A Rappoport Proceedings of the fourteenth conference on computational natural language …, 2010 | 774 | 2010 |
| What's in a hashtag? Content based prediction of the spread of ideas in microblogging communities O Tsur, A Rappoport Proceedings of the fifth ACM international conference on Web search and data …, 2012 | 675 | 2012 |
| ICWSM—a great catchy name: Semi-supervised recognition of sarcastic sentences in online product reviews O Tsur, D Davidov, A Rappoport Proceedings of the International AAAI Conference on Web and Social Media 4 …, 2010 | 467 | 2010 |
| Authorship Attribution of Micro-Messages R Schwartz, O Tsur, A Rappoport, M Koppel Empirical methods in Natural Language Processing, 2013 | 194 | 2013 |
| A Frame of Mind: Using Statistical Models for Detection of Framing and Agenda Setting Campaigns O Tsur, D Calacci, L David ACL, 2015 | 143 | 2015 |
| Revrank: A fully unsupervised algorithm for selecting the most helpful book reviews O Tsur, A Rappoport Proceedings of the International AAAI Conference on Web and Social Media 3 …, 2009 | 140 | 2009 |
| Using classifier features for studying the effect of native language on the choice of written second language words O Tsur, A Rappoport Proceedings of the Workshop on Cognitive Aspects of Computational Language …, 2007 | 110 | 2007 |
| Efficient clustering of short messages into general domains O Tsur, A Littman, A Rappoport Proceedings of the International AAAI Conference on Web and Social Media 7 …, 2013 | 75 | 2013 |
| ConStance: Modeling Annotation Contexts to Improve Stance Classification K Joseph, L Friedland, W Hobbs, D Lazer, O Tsur Proceedings of the 2017 Conference on Empirical Methods in Natural Language …, 2017 | 48 | 2017 |
| The University of Amsterdam at the TREC 2003 Question Answering Track. V Jijkoun, G Mishne, C Monz, M de Rijke, S Schlobach, O Tsur TREC, 586-593, 2003 | 38 | 2003 |
| Don't Let Me Be #Misunderstood: Linguistically Motivated Algorithm for Predicting the Popularity of Textual Memes O Tsur, A Rappoport ICWSM, 2015 | 33 | 2015 |
| Method and system for automatically ranking product reviews according to review helpfulness A Rappoport, O Tsur US Patent 8,930,366, 2015 | 31 | 2015 |
| Biographer: Biography questions as a restricted domain question answering task O Tsur, M de Rijke, K Sima’an Proceedings of the Conference on Question Answering in Restricted Domains, 23-30, 2004 | 30 | 2004 |
| Definitional question answering using trainable classifiers O Tsur M. Sc thesis, University of Amsterdam, 2003 | 24* | 2003 |
| Scalable multi stage clustering of tagged micro-messages O Tsur, A Littman, A Rappoport Proceedings of the 21st International Conference on World Wide Web, 621-622, 2012 | 22 | 2012 |
| The data behind Trump’s Twitter takeover O Tsur, K Ognyanova, D Lazer Politico Magazine, 2016 | 19 | 2016 |
| Sharp power in social media: Patterns from datasets across electoral campaigns S Hanouna, O Neu, S Pardo, O Tsur, H Zahavi Australian and New Zealand Journal of European Studies 11 (3), 2019 | 15 | 2019 |
| Local/Global contagion of viral/non-viral information: Analysis of contagion spread in online social networks A Bartal, N Pliskin, O Tsur Plos one 15 (4), e0230811, 2020 | 14 | 2020 |
| Pkg2Vec: Hierarchical package embedding for code authorship attribution R Mateless, O Tsur, R Moskovitch Future Generation Computer Systems 116, 49-60, 2020 | 13 | 2020 |
Ari RappoportAssociate Professor of Computer Science, The Hebrew UniversityVerified email at mail.huji.ac.il
