| Hierarchical Attention Network for Explainable Depression Detection on Twitter Aided by Metaphor Concept Mappings S Han, R Mao, E Cambria International Conference on Computational Linguistics, 2022 | 46 | 2022 |
| RP-DNN: A tweet level propagation context based deep neural networks for early rumor detection in social media J Gao, S Han, X Song, F Ciravegna arXiv preprint arXiv:2002.12683, 2020 | 31 | 2020 |
| Sentic parser: A graph-based approach to concept extraction for sentiment analysis E Cambria, R Mao, S Han, Q Liu Proceedings of the 2022 International Conference on Data Mining Workshops …, 2022 | 21 | 2022 |
| Neural language model based training data augmentation for weakly supervised early rumor detection S Han, J Gao, F Ciravegna Proceedings of the 2019 IEEE/ACM International Conference on Advances in …, 2019 | 16 | 2019 |
| Data augmentation for rumor detection using context-sensitive neural language model with large-scale credibility corpus S Han, J Gao, F Ciravegna | 16 | 2019 |
| Rumour Detection on Social Media for Crisis Management. S Han, F Ciravegna ISCRAM, 2019 | 13 | 2019 |
| Context-aware message-level rumour detection with weak supervision S Han University of Sheffield, 2020 | 3 | 2020 |
| PrimeNet: A Framework for Commonsense Knowledge Representation and Reasoning Based on Conceptual Primitives Q Liu, S Han, E Cambria, Y Li, K Kwok | 1 | 2023 |
Fabio CiravegnaDipartimento di Informatica, Università di TorinoVerified email at unito.it
