Navonil Majumder
Navonil Majumder
Centro de Investigación en Computación, IPN
Verified email at - Homepage
Cited by
Cited by
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
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
Memory fusion network for multi-view sequential learning
A Zadeh, PP Liang, N Mazumder, S Poria, E Cambria, LP Morency
arXiv preprint arXiv:1802.00927, 2018
Multimodal sentiment analysis using hierarchical fusion with context modeling
N Majumder, D Hazarika, A Gelbukh, E Cambria, S Poria
Knowledge-based systems 161, 124-133, 2018
Multi-level multiple attentions for contextual multimodal sentiment analysis
S Poria, E Cambria, D Hazarika, N Mazumder, A Zadeh, LP Morency
2017 IEEE International Conference on Data Mining (ICDM), 1033-1038, 2017
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, 6818-6825, 2019
Meld: A multimodal multi-party dataset for emotion recognition in conversations
S Poria, D Hazarika, N Majumder, G Naik, E Cambria, R Mihalcea
arXiv preprint arXiv:1810.02508, 2018
Multimodal sentiment analysis: Addressing key issues and setting up the baselines
S Poria, N Majumder, D Hazarika, E Cambria, A Gelbukh, A Hussain
IEEE Intelligent Systems 33 (6), 17-25, 2018
IARM: Inter-aspect relation modeling with memory networks in aspect-based sentiment analysis
N Majumder, S Poria, A Gelbukh, MS Akhtar, E Cambria, A Ekbal
Proceedings of the 2018 conference on empirical methods in natural language …, 2018
Sentiment and sarcasm classification with multitask learning
N Majumder, S Poria, H Peng, N Chhaya, E Cambria, A Gelbukh
IEEE Intelligent Systems 34 (3), 38-43, 2019
A deep learning approach for multimodal deception detection
G Krishnamurthy, N Majumder, S Poria, E Cambria
arXiv preprint arXiv:1803.00344, 2018
Emotion recognition in conversation: Research challenges, datasets, and recent advances
S Poria, N Majumder, R Mihalcea, E Hovy
IEEE Access 7, 100943-100953, 2019
Recent trends in deep learning based personality detection
Y Mehta, N Majumder, A Gelbukh, E Cambria
Artificial Intelligence Review 53 (4), 2313-2339, 2020
A new quad tree based feature set for recognition of handwritten bangla numerals
A Roy, N Mazumder, N Das, R Sarkar, S Basu, M Nasipuri
2012 IEEE International Conference on Engineering Education: Innovative …, 2012
Dialoguegcn: A graph convolutional neural network for emotion recognition in conversation
D Ghosal, N Majumder, S Poria, N Chhaya, A Gelbukh
arXiv preprint arXiv:1908.11540, 2019
Beneath the Tip of the Iceberg: Current Challenges and New Directions in Sentiment Analysis Research
S Poria, D Hazarika, N Majumder, R Mihalcea
arXiv preprint arXiv:2005.00357, 2020
Multimodal Sentiment Analysis in Social Media using Deep Learning with Convolutional Neural Networks
N Majumder
CIC, Instituto Politécnico Nacional, 2017
Variational Fusion for Multimodal Sentiment Analysis
N Majumder, S Poria, G Krishnamurthy, N Chhaya, R Mihalcea, ...
arXiv preprint arXiv:1908.06008, 2019
Dialogue Relation Extraction with Document-level Heterogeneous Graph Attention Networks
H Chen, P Hong, W Han, N Majumder, S Poria
arXiv preprint arXiv:2009.05092, 2020
Investigating Gender Bias in BERT
R Bhardwaj, N Majumder, S Poria
arXiv preprint arXiv:2009.05021, 2020
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