Erik Cambria
Erik Cambria
Professor of Computing and Data Science, NTU Singapore
Verified email at - Homepage
Cited by
Cited by
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
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
Affective Computing and Sentiment Analysis
E Cambria
IEEE Intelligent Systems 31 (2), 102-107, 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
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
Jumping NLP Curves: A Review of Natural Language Processing Research
E Cambria, B White
IEEE Computational Intelligence Magazine 9 (2), 48-57, 2014
Tensor Fusion Network for Multimodal Sentiment Analysis
A Zadeh, M Chen, S Poria, E Cambria, LP Morency
Proceedings of EMNLP, 1114-1125, 2017
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
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
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
Aspect Extraction for Opinion Mining with a Deep Convolutional Neural Network
S Poria, E Cambria, A Gelbukh
Knowledge-Based Systems 108, 42-49, 2016
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
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
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
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
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
Convolutional MKL Based Multimodal Emotion Recognition and Sentiment Analysis
S Poria, I Chaturvedi, E Cambria, A Hussain
Proceedings of ICDM, 439-448, 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
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
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
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