Soujanya Poria
TitleCited byYear
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
4612018
Aspect extraction for opinion mining with a deep convolutional neural network
S Poria, E Cambria, A Gelbukh
Knowledge-Based Systems 108, 42-49, 2016
3382016
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
3172017
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
2672014
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
2652016
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 language …, 2015
2252015
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 on …, 2016
1892016
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
1772016
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
1752013
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 social …, 2014
1682014
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
1632017
Towards an intelligent framework for multimodal affective data analysis
S Poria, E Cambria, A Hussain, GB Huang
Neural Networks 63, 104-116, 2015
1352015
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 Computational …, 2017
1322017
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
1322016
Tensor fusion network for multimodal sentiment analysis
A Zadeh, M Chen, S Poria, E Cambria, LP Morency
arXiv preprint arXiv:1707.07250, 2017
1252017
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
1252014
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
1242015
Sentiment analysis is a big suitcase
E Cambria, S Poria, A Gelbukh, M Thelwall
IEEE Intelligent Systems 32 (6), 74-80, 2017
1082017
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
1082015
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
1072015
The system can't perform the operation now. Try again later.
Articles 1–20