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Soujanya Poria
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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
28592018
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
10232017
Aspect extraction for opinion mining with a deep convolutional neural network
S Poria, E Cambria, A Gelbukh
Knowledge-Based Systems 108, 42-49, 2016
8512016
Tensor fusion network for multimodal sentiment analysis
A Zadeh, M Chen, S Poria, E Cambria, LP Morency
arXiv preprint arXiv:1707.07250, 2017
7902017
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
6862018
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
5442017
Multimodal language analysis in the wild: Cmu-mosei dataset and interpretable dynamic fusion graph
AAB Zadeh, PP Liang, S Poria, E Cambria, LP Morency
Proceedings of the 56th Annual Meeting of the Association for Computational …, 2018
5092018
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
5022017
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
4892016
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
4842016
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
4692015
Meld: A multimodal multi-party dataset for emotion recognition in conversations
S Poria, D Hazarika, N Majumder, G Naik, E Cambria, R Mihalcea
Association for Computational Linguistics, 2019
4502019
Memory fusion network for multi-view sequential learning
A Zadeh, PP Liang, N Mazumder, S Poria, E Cambria, LP Morency
Proceedings of the AAAI conference on artificial intelligence 32 (1), 2018
4172018
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
4102014
Dialoguernn: An attentive rnn for emotion detection in conversations
N Majumder, S Poria, D Hazarika, R Mihalcea, A Gelbukh, E Cambria
Proceedings of the AAAI conference on artificial intelligence 33 (01), 6818-6825, 2019
3942019
SenticNet 4: A semantic resource for sentiment analysis based on conceptual primitives
E Cambria, S Poria, R Bajpai, B Schuller
3632016
SenticNet 6: Ensemble application of symbolic and subsymbolic AI for sentiment analysis
E Cambria, Y Li, FZ Xing, S Poria, K Kwok
Proceedings of the 29th ACM international conference on information …, 2020
3512020
Multi-attention recurrent network for human communication comprehension
A Zadeh, PP Liang, S Poria, P Vij, E Cambria, LP Morency
Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018
3262018
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
3252014
A deeper look into sarcastic tweets using deep convolutional neural networks
S Poria, E Cambria, D Hazarika, P Vij
COLING, 2016
3122016
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