| Recent trends in deep learning based natural language processing T Young, D Hazarika, S Poria, E Cambria IEEE Computational Intelligence Magazine 13, 3, 2017 | 2510 | 2017 |
| SenticNet 5: Discovering conceptual primitives for sentiment analysis by means of context embeddings E Cambria, S Poria, D Hazarika, K Kwok Proceedings of the AAAI conference on artificial intelligence 32 (1), 2018 | 631 | 2018 |
| Context-dependent sentiment analysis in user-generated videos S Poria, E Cambria, D Hazarika, N Majumder, A Zadeh, LP Morency Proceedings of the 55th annual meeting of the association for computational …, 2017 | 475 | 2017 |
| Meld: A multimodal multi-party dataset for emotion recognition in conversations S Poria, D Hazarika, N Majumder, G Naik, E Cambria, R Mihalcea arXiv preprint arXiv:1810.02508, 2018 | 347 | 2018 |
| Dialoguernn: An attentive rnn for emotion detection in conversations N Majumder, S Poria, D Hazarika, R Mihalcea, A Gelbukh, E Cambria Proceedings of the AAAI conference on artificial intelligence 33 (01), 6818-6825, 2019 | 320 | 2019 |
| A deeper look into sarcastic tweets using deep convolutional neural networks S Poria, E Cambria, D Hazarika, P Vij Proceedings of COLING 2016, the 26th International Conference on …, 2016 | 295 | 2016 |
| Conversational memory network for emotion recognition in dyadic dialogue videos D Hazarika, S Poria, A Zadeh, E Cambria, LP Morency, R Zimmermann Proceedings of the conference. Association for Computational Linguistics …, 2018 | 224 | 2018 |
| Multimodal sentiment analysis using hierarchical fusion with context modeling N Majumder, D Hazarika, A Gelbukh, E Cambria, S Poria Knowledge-based systems 161, 124-133, 2018 | 197 | 2018 |
| Icon: Interactive conversational memory network for multimodal emotion detection D Hazarika, S Poria, R Mihalcea, E Cambria, R Zimmermann Proceedings of the 2018 conference on empirical methods in natural language …, 2018 | 163 | 2018 |
| Cascade: Contextual sarcasm detection in online discussion forums D Hazarika, S Poria, S Gorantla, E Cambria, R Zimmermann, R Mihalcea arXiv preprint arXiv:1805.06413, 2018 | 127 | 2018 |
| Multimodal sentiment analysis: Addressing key issues and setting up the baselines S Poria, N Majumder, D Hazarika, E Cambria, A Gelbukh, A Hussain IEEE Intelligent Systems 33 (6), 17-25, 2018 | 122 | 2018 |
| Multi-level multiple attentions for contextual multimodal sentiment analysis S Poria, E Cambria, D Hazarika, N Mazumder, A Zadeh, LP Morency 2017 IEEE International Conference on Data Mining (ICDM), 1033-1038, 2017 | 111 | 2017 |
| Towards multimodal sarcasm detection (an _obviously_ perfect paper) S Castro, D Hazarika, V Pérez-Rosas, R Zimmermann, R Mihalcea, ... arXiv preprint arXiv:1906.01815, 2019 | 87 | 2019 |
| Beneath the tip of the iceberg: Current challenges and new directions in sentiment analysis research S Poria, D Hazarika, N Majumder, R Mihalcea IEEE Transactions on Affective Computing, 2020 | 67 | 2020 |
| Misa: Modality-invariant and-specific representations for multimodal sentiment analysis D Hazarika, R Zimmermann, S Poria Proceedings of the 28th ACM international conference on multimedia, 1122-1131, 2020 | 65 | 2020 |
| Modeling inter-aspect dependencies for aspect-based sentiment analysis D Hazarika, S Poria, P Vij, G Krishnamurthy, E Cambria, R Zimmermann Proceedings of the 2018 Conference of the North American Chapter of the …, 2018 | 62 | 2018 |
| Benchmarking multimodal sentiment analysis E Cambria, D Hazarika, S Poria, A Hussain, RBV Subramanyam International conference on computational linguistics and intelligent text …, 2017 | 54 | 2017 |
| Conversational transfer learning for emotion recognition D Hazarika, S Poria, R Zimmermann, R Mihalcea Information Fusion 65, 1-12, 2021 | 53* | 2021 |
| Self-attentive feature-level fusion for multimodal emotion detection D Hazarika, S Gorantla, S Poria, R Zimmermann 2018 IEEE Conference on Multimedia Information Processing and Retrieval …, 2018 | 38 | 2018 |
| Kingdom: Knowledge-guided domain adaptation for sentiment analysis D Ghosal, D Hazarika, A Roy, N Majumder, R Mihalcea, S Poria arXiv preprint arXiv:2005.00791, 2020 | 32 | 2020 |
Soujanya PoriaAssistant Professor, Singapore University of Technology and DesignVerifisert e-postadresse på sutd.edu.sg
