| Biographies, bollywood, boom-boxes and blenders: Domain adaptation for sentiment classification J Blitzer, M Dredze, F Pereira Proceedings of the 45th annual meeting of the association of computational …, 2007 | 2852 | 2007 |
| You are what you tweet: Analyzing twitter for public health M Paul, M Dredze Proceedings of the international AAAI conference on web and social media 5 …, 2011 | 1370 | 2011 |
| Weaponized health communication: Twitter bots and Russian trolls amplify the vaccine debate DA Broniatowski, AM Jamison, SH Qi, L AlKulaib, T Chen, A Benton, ... American journal of public health 108 (10), 1378-1384, 2018 | 1092 | 2018 |
| Quantifying mental health signals in Twitter G Coppersmith, M Dredze, C Harman Proceedings of the workshop on computational linguistics and clinical …, 2014 | 748 | 2014 |
| Discovering shifts to suicidal ideation from mental health content in social media M De Choudhury, E Kiciman, M Dredze, G Coppersmith, M Kumar Proceedings of the 2016 CHI conference on human factors in computing systems …, 2016 | 720 | 2016 |
| Beto, bentz, becas: The surprising cross-lingual effectiveness of BERT S Wu, M Dredze arXiv preprint arXiv:1904.09077, 2019 | 621 | 2019 |
| Confidence-weighted linear classification M Dredze, K Crammer, F Pereira Proceedings of the 25th international conference on Machine learning, 264-271, 2008 | 562 | 2008 |
| National and local influenza surveillance through Twitter: an analysis of the 2012-2013 influenza epidemic DA Broniatowski, MJ Paul, M Dredze PloS one 8 (12), e83672, 2013 | 556 | 2013 |
| Annotating named entities in Twitter data with crowdsourcing T Finin, W Murnane, A Karandikar, N Keller, J Martineau, M Dredze Proceedings of the NAACL Workshop on Creating Speech and Text Language Data …, 2010 | 474 | 2010 |
| Combining search, social media, and traditional data sources to improve influenza surveillance M Santillana, AT Nguyen, M Dredze, MJ Paul, EO Nsoesie, JS Brownstein PLoS computational biology 11 (10), e1004513, 2015 | 441 | 2015 |
| Creating speech and language data with amazon’s mechanical turk C Callison-Burch, M Dredze Proceedings of the NAACL HLT 2010 workshop on creating speech and language …, 2010 | 434 | 2010 |
| Entity disambiguation for knowledge base population M Dredze, P McNamee, D Rao, A Gerber, T Finin Proceedings of the 23rd International Conference on Computational Linguistics, 2010 | 422 | 2010 |
| Adaptive regularization of weight vectors K Crammer, A Kulesza, M Dredze Advances in neural information processing systems 22, 2009 | 387 | 2009 |
| Improving lexical embeddings with semantic knowledge M Yu, M Dredze Proceedings of the 52nd Annual Meeting of the Association for Computational …, 2014 | 379 | 2014 |
| Measuring post traumatic stress disorder in Twitter G Coppersmith, C Harman, M Dredze Proceedings of the international AAAI conference on web and social media 8 …, 2014 | 379* | 2014 |
| Separating fact from fear: Tracking flu infections on twitter A Lamb, M Paul, M Dredze Proceedings of the 2013 Conference of the North American Chapter of the …, 2013 | 377 | 2013 |
| Named entity recognition for chinese social media with jointly trained embeddings N Peng, M Dredze Proceedings of the 2015 conference on empirical methods in natural language …, 2015 | 376 | 2015 |
| CLPsych 2015 shared task: Depression and PTSD on Twitter G Coppersmith, M Dredze, C Harman, K Hollingshead, M Mitchell Proceedings of the 2nd workshop on computational linguistics and clinical …, 2015 | 365 | 2015 |
| From ADHD to SAD: Analyzing the language of mental health on Twitter through self-reported diagnoses G Coppersmith, M Dredze, C Harman, K Hollingshead Proceedings of the 2nd workshop on computational linguistics and clinical …, 2015 | 359 | 2015 |
| Twitter improves influenza forecasting MJ Paul, M Dredze, D Broniatowski PLoS currents 6, 2014 | 317 | 2014 |
Michael J. PaulUniversity of Colorado BoulderVerified email at colorado.edu
