| Recognizing contextual polarity in phrase-level sentiment analysis T Wilson, J Wiebe, P Hoffmann Proceedings of human language technology conference and conference on …, 2005 | 3782 | 2005 |
| Annotating expressions of opinions and emotions in language J Wiebe, T Wilson, C Cardie Language resources and evaluation 39 (2-3), 165-210, 2005 | 1875 | 2005 |
| Twitter sentiment analysis: The good the bad and the omg! E Kouloumpis, T Wilson, J Moore Proceedings of the International AAAI Conference on Web and Social Media 5 (1), 2011 | 1456 | 2011 |
| SemEval-2016 task 4: Sentiment analysis in Twitter P Nakov, A Ritter, S Rosenthal, F Sebastiani, V Stoyanov arXiv preprint arXiv:1912.01973, 2019 | 976 | 2019 |
| Learning subjective language J Wiebe, T Wilson, R Bruce, M Bell, M Martin Computational linguistics 30 (3), 277-308, 2004 | 853 | 2004 |
| Recognizing contextual polarity: An exploration of features for phrase-level sentiment analysis T Wilson, J Wiebe, P Hoffmann Computational linguistics 35 (3), 399-433, 2009 | 735 | 2009 |
| Learning subjective nouns using extraction pattern bootstrapping E Riloff, J Wiebe, T Wilson Proceedings of the seventh conference on Natural language learning at HLT …, 2003 | 674 | 2003 |
| OpinionFinder: A system for subjectivity analysis T Wilson, P Hoffmann, S Somasundaran, J Kessler, J Wiebe, Y Choi, ... Proceedings of HLT/EMNLP 2005 Interactive Demonstrations, 34-35, 2005 | 626 | 2005 |
| Just how mad are you? Finding strong and weak opinion clauses T Wilson, J Wiebe, R Hwa aaai 4, 761-769, 2004 | 584 | 2004 |
| Which side are you on? Identifying perspectives at the document and sentence levels WH Lin, T Wilson, J Wiebe, AG Hauptmann Proceedings of the Tenth Conference on Computational Natural Language …, 2006 | 294 | 2006 |
| Identifying collocations for recognizing opinions J Wiebe, T Wilson, M Bell Proceedings of the ACL-01 Workshop on Collocation: Computational Extraction …, 2001 | 208 | 2001 |
| Fine-grained subjectivity and sentiment analysis: recognizing the intensity, polarity, and attitudes of private states TA Wilson University of Pittsburgh, 2008 | 194 | 2008 |
| Recognizing strong and weak opinion clauses T Wilson, J Wiebe, R Hwa Computational intelligence 22 (2), 73-99, 2006 | 190 | 2006 |
| Combining Low-Level and Summary Representations of Opinions for Multi-Perspective Question Answering. C Cardie, J Wiebe, T Wilson, DJ Litman New directions in question answering, 20-27, 2003 | 132 | 2003 |
| Exploring demographic language variations to improve multilingual sentiment analysis in social media S Volkova, T Wilson, D Yarowsky Proceedings of the 2013 Conference on Empirical Methods in Natural Language …, 2013 | 126 | 2013 |
| Open domain targeted sentiment M Mitchell, J Aguilar, T Wilson, B Van Durme Proceedings of the 2013 Conference on Empirical Methods in Natural Language …, 2013 | 124 | 2013 |
| Language identification for creating language-specific twitter collections S Bergsma, P McNamee, M Bagdouri, C Fink, T Wilson Proceedings of the second workshop on language in social media, 65-74, 2012 | 118 | 2012 |
| Annotating opinions in the world press T Wilson, J Wiebe Proceedings of the Fourth SIGdial Workshop of Discourse and Dialogue, 13-22, 2003 | 105 | 2003 |
| Broadly improving user classification via communication-based name and location clustering on twitter S Bergsma, M Dredze, B Van Durme, T Wilson, D Yarowsky Proceedings of the 2013 Conference of the North American Chapter of the …, 2013 | 100 | 2013 |
| Recognizing and Organizing Opinions Expressed in the World Press. J Wiebe, E Breck, C Buckley, C Cardie, P Davis, B Fraser, DJ Litman, ... New directions in question answering, 12-19, 2003 | 99 | 2003 |
Janyce WiebeProfessor Computer Science and Intelligent Systems, University of PittsburghVerified email at cs.pitt.edu
