Erik Cambria
Title
Cited by
Cited by
Year
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
14742018
New Avenues in Opinion Mining and Sentiment Analysis
E Cambria, B Schuller, Y Xia, C Havasi
IEEE Intelligent Systems 28 (2), 15-21, 2013
11952013
Affective Computing and Sentiment Analysis
E Cambria
IEEE Intelligent Systems 31 (2), 102-107, 2016
8842016
Jumping NLP Curves: A Review of Natural Language Processing Research [Review Article]
E Cambria, B White
IEEE Computational Intelligence Magazine 9 (2), 48-57, 2014
8122014
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
6122017
Aspect Extraction for Opinion Mining with a Deep Convolutional Neural Network
S Poria, E Cambria, A Gelbukh
Knowledge-Based Systems 108, 42-49, 2016
5942016
Sentic Computing: A Common-Sense-Based Framework for Concept-Level Sentiment Analysis
E Cambria, A Hussain
Springer, ISBN 978-3-319-23654-4, 2015
536*2015
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
3992014
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
3782016
Sentic Patterns: Dependency-Based Rules for Concept-Level Sentiment Analysis
S Poria, E Cambria, G Winterstein, GB Huang
Knowledge-Based Systems 69, 45-63, 2014
3492014
Extreme Learning Machines
E Cambria, Q Liu, K Li, VCM Leung, L Feng, YS Ong, MH Lim, A Akusok, ...
IEEE Intelligent Systems 28 (6), 30-59, 2013
3462013
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
3442015
Convolutional MKL Based Multimodal Emotion Recognition and Sentiment Analysis
S Poria, I Chaturvedi, E Cambria, A Hussain
Proceedings of ICDM, 439-448, 2016
3212016
SenticNet: A Publicly Available Semantic Resource for Opinion Mining
E Cambria, R Speer, C Havasi, A Hussain
Proceedings of Commonsense Knowledge Symposium, 14-18, 2010
3172010
Tensor Fusion Network for Multimodal Sentiment Analysis
A Zadeh, M Chen, S Poria, E Cambria, LP Morency
Proceedings of EMNLP, 1114-1125, 2017
3152017
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
3012018
The Hourglass of Emotions
E Cambria, A Livingstone, A Hussain
Cognitive behavioural systems, 144-157, 2012
3012012
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
2922017
Context-Dependent Sentiment Analysis in User-Generated Videos
S Poria, E Cambria, D Hazarika, N Mazumder, A Zadeh, LP Morency
Proceedings of ACL, 873-883, 2017
2822017
SenticNet 4: A Semantic Resource for Sentiment Analysis Based on Conceptual Primitives
E Cambria, S Poria, R Bajpai, B Schuller
Proceedings of COLING, 2666-2677, 2016
2802016
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