Soujanya Poria
TitleCited byYear
Aspect extraction for opinion mining with a deep convolutional neural network
S Poria, E Cambria, A Gelbukh
Knowledge-Based Systems 108, 42-49, 2016
2472016
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
2362014
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
2172018
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
2112017
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
2022016
Deep convolutional neural network textual features and multiple kernel learning for utterance-level multimodal sentiment analysis
S Poria, E Cambria, A Gelbukh
Proceedings of the 2015 conference on empirical methods in natural languageá…, 2015
1802015
Enhanced SenticNet with affective labels for concept-based opinion mining
S Poria, A Gelbukh, A Hussain, N Howard, D Das, S Bandyopadhyay
IEEE Intelligent Systems 28 (2), 31-38, 2013
1592013
SenticNet 4: A semantic resource for sentiment analysis based on conceptual primitives
E Cambria, S Poria, R Bajpai, B Schuller
Proceedings of COLING 2016, the 26th international conference oná…, 2016
1552016
A rule-based approach to aspect extraction from product reviews
S Poria, E Cambria, LW Ku, C Gui, A Gelbukh
Proceedings of the second workshop on natural language processing for socialá…, 2014
1472014
Convolutional MKL based multimodal emotion recognition and sentiment analysis
S Poria, I Chaturvedi, E Cambria, A Hussain
2016 IEEE 16th international conference on data mining (ICDM), 439-448, 2016
1282016
EmoSenticSpace: A novel framework for affective common-sense reasoning
S Poria, A Gelbukh, E Cambria, A Hussain, GB Huang
Knowledge-Based Systems 69, 108-123, 2014
1192014
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
1152017
Towards an intelligent framework for multimodal affective data analysis
S Poria, E Cambria, A Hussain, GB Huang
Neural Networks 63, 104-116, 2015
1122015
AffectiveSpace 2: Enabling affective intuition for concept-level sentiment analysis
E Cambria, J Fu, F Bisio, S Poria
Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015
1122015
A deeper look into sarcastic tweets using deep convolutional neural networks
S Poria, E Cambria, D Hazarika, P Vij
arXiv preprint arXiv:1610.08815, 2016
1012016
Sentiment data flow analysis by means of dynamic linguistic patterns
S Poria, E Cambria, A Gelbukh, F Bisio, A Hussain
IEEE Computational Intelligence Magazine 10 (4), 26-36, 2015
1012015
Concept-level sentiment analysis with dependency-based semantic parsing: a novel approach
B Agarwal, S Poria, N Mittal, A Gelbukh, A Hussain
Cognitive Computation 7 (4), 487-499, 2015
942015
Merging SenticNet and WordNet-Affect emotion lists for sentiment analysis
S Poria, A Gelbukh, E Cambria, P Yang, A Hussain, T Durrani
2012 IEEE 11th International Conference on Signal Processing 2, 1251-1255, 2012
832012
Context-dependent sentiment analysis in user-generated videos
S Poria, E Cambria, D Hazarika, N Majumder, A Zadeh, LP Morency
Proceedings of the 55th Annual Meeting of the Association for Computationalá…, 2017
822017
SeNTU: sentiment analysis of tweets by combining a rule-based classifier with supervised learning
P Chikersal, S Poria, E Cambria
Proceedings of the 9th International Workshop on Semantic Evaluationá…, 2015
732015
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