Follow
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
23132018
New Avenues in Opinion Mining and Sentiment Analysis
E Cambria, B Schuller, Y Xia, C Havasi
IEEE Intelligent Systems 28 (2), 15-21, 2013
13482013
Affective Computing and Sentiment Analysis
E Cambria
IEEE Intelligent Systems 31 (2), 102-107, 2016
11812016
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
10192014
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
8472017
Aspect Extraction for Opinion Mining with a Deep Convolutional Neural Network
S Poria, E Cambria, A Gelbukh
Knowledge-Based Systems 108, 42-49, 2016
7662016
SenticNet 5: Discovering Conceptual Primitives for Sentiment Analysis by Means of Context Embeddings
E Cambria, S Poria, D Hazarika, K Kwok
Proceedings of AAAI, 1795-1802, 2018
6012018
Tensor Fusion Network for Multimodal Sentiment Analysis
A Zadeh, M Chen, S Poria, E Cambria, LP Morency
Proceedings of EMNLP, 1114-1125, 2017
5612017
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
4982022
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
4762014
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
4532018
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
4482016
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
4392017
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
4192021
Convolutional MKL Based Multimodal Emotion Recognition and Sentiment Analysis
S Poria, I Chaturvedi, E Cambria, A Hussain
Proceedings of ICDM, 439-448, 2016
4142016
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
4122015
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
4042017
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
3942014
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
3782013
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
3582010
The system can't perform the operation now. Try again later.
Articles 1–20