Erik Cambria

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Björn SchullerProfessor, TUM / Imperial College London & CSO, audEERINGVerified email at tum.de
Rui MaoNanyang Technological UniversityVerified email at ntu.edu.sg
Catherine HavasiMIT Media LabVerified email at media.mit.edu
Shaoxiong JiUniversity of HelsinkiVerified email at helsinki.fi
Yang LIAssociate Professor, Northwestern Polytechnical UniversityVerified email at nwpu.edu.cn
Louis-Philippe MorencyAssociate professor, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Yunqing XiaMicrosoftVerified email at microsoft.com
Newton HowardProfessor of Computational Neuroscience and Functional Neurosurgery, University of OxfordVerified email at nds.ox.ac.uk
Tom YoungResearch Fellow, National University of SingaporeVerified email at nus.edu.sg
Kenneth KwokInstitute of High Performance ComputingVerified email at ihpc.a-star.edu.sg
Paolo GastaldoAssociate Professor, University of GenoaVerified email at unige.it
Rodolfo ZuninoProfessor of Electronics, Genoa UniversityVerified email at unige.it
Dr. Ranjan SatapathyA*STAR, SingaporeVerified email at ihpc.a-star.edu.sg
Guang-Bin HuangFull Professor, Nanyang Technological University, SingaporeVerified email at ntu.edu.sg
Rada MihalceaProfessor of Computer Science, University of MichiganVerified email at umich.edu
Roger ZimmermannProfessor of Computer Science, National University of SingaporeVerified email at comp.nus.edu.sg
Luca OnetoDIBRIS - University of GenoaVerified email at unige.it
WEI LINational University of SingaporeVerified email at e.ntu.edu.sg
Xiaoshi ZhongAssistant Professor at Beijing Institute of Technology, ChinaVerified email at bit.edu.cn
Edoardo RagusaUniversity of GenovaVerified email at unige.it

Erik Cambria

Professor of Computer Science & Engineering, NTU Singapore

Verified email at ntu.edu.sg - Homepage

affective computing sentiment analysis multimodal interaction commonsense reasoning sentic computing


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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	3434	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	1590	2022
Affective Computing and Sentiment Analysis E Cambria IEEE Intelligent Systems 31 (2), 102-107, 2016	1582	2016
New Avenues in Opinion Mining and Sentiment Analysis E Cambria, B Schuller, Y Xia, C Havasi IEEE Intelligent Systems 28 (2), 15-21, 2013	1524	2013
Jumping NLP Curves: A Review of Natural Language Processing Research E Cambria, B White IEEE Computational Intelligence Magazine 9 (2), 48-57, 2014	1338	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	1242	2017
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	1222	2021
Tensor Fusion Network for Multimodal Sentiment Analysis A Zadeh, M Chen, S Poria, E Cambria, LP Morency Proceedings of EMNLP, 1114-1125, 2017	1111	2017
Aspect Extraction for Opinion Mining with a Deep Convolutional Neural Network S Poria, E Cambria, A Gelbukh Knowledge-Based Systems 108, 42-49, 2016	928	2016
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	768	2018
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	763	2019
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	713	2017
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	613	2018
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	593	2019
Convolutional MKL Based Multimodal Emotion Recognition and Sentiment Analysis S Poria, I Chaturvedi, E Cambria, A Hussain Proceedings of ICDM, 439-448, 2016	588	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	586	2017
SenticNet 3: A Common and Common-Sense Knowledge Base for Cognition-Driven Sentiment Analysis E Cambria, D Olsher, D Rajagopal Proceedings of AAAI, 1515-1521, 2014	564	2014
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	562	2018
Deep Convolutional Neural Network Textual Features and Multiple Kernel Learning for Utterance-Level Multimodal Sentiment Analysis S Poria, E Cambria, A Gelbukh Proceedings of EMNLP, 2539–2544, 2015	543	2015
Fusing Audio, Visual and Textual Clues for Sentiment Analysis from Multimodal Content S Poria, E Cambria, N Howard, GB Huang, A Hussain Neurocomputing 174, 50-59, 2016	542	2016

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