| Recent Trends in Deep Learning Based Natural Language Processing T Young, D Hazarika, S Poria, E Cambria IEEE Computational Intelligence Magazine 13 (3), 55-75, 2018 | 4673 | 2018 |
| A Survey on Knowledge Graphs: Representation, Acquisition and Applications S Ji, S Pan, E Cambria, P Marttinen, PS Yu IEEE Transactions on Neural Networks and Learning Systems 33 (2), 494-514, 2022 | 3624 | 2022 |
| Deep Learning based Text Classification: A Comprehensive Review S Minaee, N Kalchbrenner, E Cambria, N Nikzad, M Chenaghlu, J Gao ACM Computing Surveys 54 (3), Article 62, 2021 | 2493 | 2021 |
| Tensor Fusion Network for Multimodal Sentiment Analysis A Zadeh, M Chen, S Poria, E Cambria, LP Morency Proceedings of EMNLP, 1114-1125, 2017 | 2316 | 2017 |
| Affective Computing and Sentiment Analysis E Cambria IEEE Intelligent Systems 31 (2), 102-107, 2016 | 1992 | 2016 |
| Jumping NLP Curves: A Review of Natural Language Processing Research E Cambria, B White IEEE Computational Intelligence Magazine 9 (2), 48-57, 2014 | 1980 | 2014 |
| A Review of Affective Computing: From Unimodal Analysis to Multimodal Fusion S Poria, E Cambria, R Bajpai, A Hussain Information Fusion 37, 98-125, 2017 | 1969 | 2017 |
| New Avenues in Opinion Mining and Sentiment Analysis E Cambria, B Schuller, Y Xia, C Havasi IEEE Intelligent Systems 28 (2), 15-21, 2013 | 1946 | 2013 |
| MELD: A Multimodal Multi-Party Dataset for Emotion Recognition in Conversations S Poria, D Hazarika, N Majumder, G Naik, E Cambria, R Mihalcea Proceedings of ACL, 527-536, 2019 | 1885 | 2019 |
| Multimodal Language Analysis in the Wild: CMU-MOSEI Dataset and Interpretable Dynamic Fusion Graph A Zadeh, PP Liang, S Poria, E Cambria, LP Morency Proceedings of ACL, 2236-2246, 2018 | 1875 | 2018 |
| Context-Dependent Sentiment Analysis in User-Generated Videos S Poria, E Cambria, D Hazarika, N Majumder, A Zadeh, LP Morency Proceedings of ACL, 873-883, 2017 | 1101 | 2017 |
| DialogueRNN: An Attentive RNN for Emotion Detection in Conversations N Majumder, S Poria, D Hazarika, R Mihalcea, A Gelbukh, E Cambria Proceedings of AAAI, 6818-6825, 2019 | 1083 | 2019 |
| Memory Fusion Network for Multi-View Sequential Learning A Zadeh, PP Liang, N Majumder, S Poria, E Cambria, LP Morency Proceedings of AAAI, 5634-5641, 2018 | 1073 | 2018 |
| Aspect Extraction for Opinion Mining with a Deep Convolutional Neural Network S Poria, E Cambria, A Gelbukh Knowledge-Based Systems 108, 42-49, 2016 | 1072 | 2016 |
| ABCDM: An Attention-based Bidirectional CNN-RNN Deep Model for Sentiment Analysis ME Basiri, S Nemati, M Abdar, E Cambria, UR Acharya Future Generation Computer Systems 115, 279-294, 2021 | 884 | 2021 |
| Multimodal Sentiment Analysis: A Systematic Review of History, Datasets, Multimodal Fusion Methods, Applications, Challenges and Future Directions A Gandhi, K Adhvaryu, S Poria, E Cambria, A Hussain Information Fusion 91, 424-444, 2023 | 802 | 2023 |
| Targeted Aspect-Based Sentiment Analysis via Embedding Commonsense Knowledge into an Attentive LSTM Y Ma, H Peng, E Cambria Proceedings of AAAI, 5876-5883, 2018 | 755 | 2018 |
| Convolutional MKL Based Multimodal Emotion Recognition and Sentiment Analysis S Poria, I Chaturvedi, E Cambria, A Hussain Proceedings of ICDM, 439-448, 2016 | 755 | 2016 |
| Deep Learning-Based Document Modeling for Personality Detection from Text N Majumder, S Poria, A Gelbukh, E Cambria IEEE Intelligent Systems 32 (2), 74-79, 2017 | 745 | 2017 |
| Multi-Attention Recurrent Network for Human Communication Comprehension A Zadeh, PP Liang, S Poria, P Vij, E Cambria, LP Morency Proceedings of AAAI, 5642-5649, 2018 | 676 | 2018 |
Rui MaoNanyang Technological UniversityVerified email at ntu.edu.sg
