Soujanya Poria
Título
Citado por
Citado por
Año
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
11662018
Aspect extraction for opinion mining with a deep convolutional neural network
S Poria, E Cambria, A Gelbukh
Knowledge-Based Systems 108, 42-49, 2016
5252016
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
5232017
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
3562016
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
3212014
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
3142015
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
2812016
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
2622017
Tensor fusion network for multimodal sentiment analysis
A Zadeh, M Chen, S Poria, E Cambria, LP Morency
arXiv preprint arXiv:1707.07250, 2017
2602017
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
2502016
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
2492017
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
2272014
A deeper look into sarcastic tweets using deep convolutional neural networks
S Poria, E Cambria, D Hazarika, P Vij
COLING, 2016
2052016
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
2042013
SenticNet 5: discovering conceptual primitives for sentiment analysis by means of context embeddings
E Cambria, S Poria, D Hazarika, K Kwok
Proceedings of AAAI, 2018
2002018
Sentiment analysis is a big suitcase
E Cambria, S Poria, A Gelbukh, M Thelwall
IEEE Intelligent Systems 32 (6), 74-80, 2017
1852017
Towards an intelligent framework for multimodal affective data analysis
S Poria, E Cambria, A Hussain, GB Huang
Neural Networks 63, 104-116, 2015
1702015
Affectivespace 2: Enabling affective intuition for concept-level sentiment analysis.
E Cambria, J Fu, F Bisio, S Poria
AAAI, 508-514, 2015
1512015
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
1482014
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
1292015
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