Follow
Soujanya Poria
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
24242018
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
8802017
Aspect extraction for opinion mining with a deep convolutional neural network
S Poria, E Cambria, A Gelbukh
Knowledge-Based Systems 108, 42-49, 2016
7812016
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
6222018
Tensor fusion network for multimodal sentiment analysis
A Zadeh, M Chen, S Poria, E Cambria, LP Morency
arXiv preprint arXiv:1707.07250, 2017
5932017
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
4642016
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
4602017
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
4282016
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
4252015
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
4242017
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
3962014
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 Computationalá…, 2018
3562018
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
3312016
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
3262019
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
3102018
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
3082014
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
3062019
A deeper look into sarcastic tweets using deep convolutional neural networks
S Poria, E Cambria, D Hazarika, P Vij
COLING, 2016
2922016
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 informationá…, 2020
2772020
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
2542018
The system can't perform the operation now. Try again later.
Articles 1–20