| Semeval-2019 task 5: Multilingual detection of hate speech against immigrants and women in twitter V Basile, C Bosco, E Fersini, D Nozza, V Patti, FMR Pardo, P Rosso, ... Proceedings of the 13th international workshop on semantic evaluation, 54-63, 2019 | 511 | 2019 |
| Sentiment analysis: Bayesian ensemble learning E Fersini, E Messina, FA Pozzi Decision support systems 68, 26-38, 2014 | 182 | 2014 |
| Sentiment analysis in social networks F Pozzi, E Fersini, E Messina, B Liu Morgan Kaufmann, 2016 | 178 | 2016 |
| Overview of the Task on Automatic Misogyny Identification at IberEval 2018. E Fersini, P Rosso, M Anzovino Ibereval@ sepln 2150, 214-228, 2018 | 154 | 2018 |
| Overview of the evalita 2018 task on automatic misogyny identification (AMI) E Fersini, D Nozza, P Rosso EVALITA Evaluation of NLP and Speech Tools for Italian 12, 59, 2018 | 123 | 2018 |
| Automatic Identification and Classification of Misogynistic Language on Twitter M Anzovino, E Fersini, P Rosso 23rd International Conference on Natural Language & Information Systems (NLDB), 2018 | 117 | 2018 |
| Challenges of sentiment analysis in social networks: an overview FA Pozzi, E Fersini, E Messina, B Liu Sentiment analysis in social networks, 1-11, 2017 | 63 | 2017 |
| Expressive signals in social media languages to improve polarity detection E Fersini, E Messina, FA Pozzi Information Processing & Management 52 (1), 20-35, 2016 | 63 | 2016 |
| Detecting irony and sarcasm in microblogs: The role of expressive signals and ensemble classifiers E Fersini, FA Pozzi, E Messina 2015 IEEE international conference on data science and advanced analytics …, 2015 | 54 | 2015 |
| Unintended Bias in Misogyny Detection D Nozza, C Volpetti, E Fersini In Proc. of 18th Web Intelligence Conference, 2019 | 49 | 2019 |
| A hierarchical document clustering environment based on the induced bisecting k-means F Archetti, P Campanelli, E Fersini, E Messina International Conference on Flexible Query Answering Systems, 257-269, 2006 | 44 | 2006 |
| Ensemble learning on visual and textual data for social image emotion classification S Corchs, E Fersini, F Gasparini International Journal of Machine Learning and Cybernetics 10 (8), 2057-2070, 2019 | 41 | 2019 |
| Cross-lingual Zero-shot Topic Models with Contextualized Embeddings F Bianchi, S Terragni, D Hovy, D Nozza, E Fersini European Chapter of the Association for Computational Linguistics (EACL), 2021 | 39* | 2021 |
| Profiling Hate Speech Spreaders on Twitter Task at PAN 2021. F Rangel, GL De la Peña Sarracén, B Chulvi, E Fersini, P Rosso CLEF (Working Notes), 1772-1789, 2021 | 36 | 2021 |
| AMI@ EVALITA2020: Automatic misogyny identification E Fersini, D Nozza, P Rosso EVALITA, 2020 | 35 | 2020 |
| Enhance user-level sentiment analysis on microblogs with approval relations FA Pozzi, D Maccagnola, E Fersini, E Messina Congress of the Italian Association for Artificial Intelligence, 133-144, 2013 | 33 | 2013 |
| Soft-constrained inference for named entity recognition E Fersini, E Messina, G Felici, D Roth Information processing & management 50 (5), 807-819, 2014 | 28 | 2014 |
| Sentiment Analysis in Social Networks: A Machine Learning Perspective E Fersini Sentiment Analysis in Social Networks, 2016 | 27 | 2016 |
| Emotional states in judicial courtrooms: An experimental investigation E Fersini, E Messina, F Archetti Speech Communication, 2012 | 25 | 2012 |
| Approval network: a novel approach for sentiment analysis in social networks E Fersini, FA Pozzi, E Messina World Wide Web 20 (4), 831-854, 2017 | 24 | 2017 |
Enza MessinaProfessor of Operations Research, University of Milano BicoccaVerified email at unimib.it
