Navonil Majumder
B n.majumder.2009@gmail.com Í nlp.cic.ipn.mx/~navonil/
Education
Centro de Investigación en Computación, IPN Mexico City, Mexico
Ph.D. Student of Computer Science 2017 Present
Thesis : Natural Language Understanding and Generation in
Conversation with Deep Learning-Based Techniques
Advisors: Dr. Alexander Gelbukh, Dr. Soujanya Poria
Centro de Investigación en Computación, IPN Mexico City, Mexico
Master in Computer Science, Honours 2015 2017
Thesis : Multimodal Sentiment Analysis in Social Media using
Deep Learning with Convolutional Neural Networks
Advisor: Dr. Alexander Gelbukh
Jadavpur University Kolkata, India
Bachelor in Computer Science and Engineering, First Class Honours 2009 2013
Experience
Vocational. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
Tata Consultancy Services Kolkata, India
Assistant Systems Engineer 2013 2015
Developer of Oracle-Apps-based ERP applications
Internship(s)
Nanyang Technological University Singapore
Computational Intelligence Lab Feb 2018 May 2018
Project: Development of new models for multimodal
sentiment analysis based on multi-task learning
Host : Dr. Erik Cambria
Publications
Journal. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
1. N. Majumder
, S. Poria, G. Krishnamurthy, A. Gelbukh, E. Cambria. Multitask Learning for Sentiment and Sarcasm Classification. IEEE Intelligent
Systems (2018). ISSN 1541-1672, [Accepted].
JCR impact factor: 2.596
2.
S. Poria,
N. Majumder
, D. Hazarika, E. Cambria, A. Hussain, A. Gelbukh. Multimodal Sentiment Analysis: Addressing Key Issues and Setting up
Baselines. Cognitive Computation (2018). ISSN 1866-9956, [Accepted].
JCR impact factor: 3.479
3. N. Majumder
, D. Hazarika, A. Gelbukh, E. Cambria, S. Poria. Multimodal sentiment analysis using hierarchical fusion with context modeling.
Knowledge-Based Systems, vol. 161, pp. 124 133 (2018). ISSN 0950-7051. doi:10.1016/j.knosys.2018.07.041.
JCR impact factor: 4.396
4. N. Majumder
, S. Poria, A. Gelbukh, E. Cambria. Deep Learning-Based Document Modeling for Personality Detection from Text. IEEE Intelligent
Systems, vol. 32(2), pp. 74–79 (2017). ISSN 1541-1672. doi:10.1109/MIS.2017.23.
JCR impact factor: 3.532
Conference. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
5. N. Majumder
, S. Poria, D. Hazarika, R. Mihalcea, A. Gelbukh, E. Cambria. DialogueRNN: An Attentive RNN for Emotion Detection in Conversations.
In: AAAI Conference on Artificial Intelligence (2019), [Accepted]
6.
G. Krishnamurthy,
N. Majumder
, S. Poria, E. Cambria. A Deep Learning Approach for Multimodal Deception Detection. CoRR, vol. abs/1803.00344
(2018), [Accepted]
7. N. Majumder
, S. Poria, A. Gelbukh, M. S. Akhtar, E. Cambria, A. Ekbal. IARM: Inter-Aspect Relation Modeling with Memory Networks in
Aspect-Based Sentiment Analysis. In: Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, pp. 3402–3411.
Association for Computational Linguistics, Brussels, Belgium (2018)
8.
A. Zadeh, P. P. Liang,
N. Majumder
, S. Poria, E. Cambria, L.-P. Morency. Memory Fusion Network for Multi-view Sequential Learning. In: AAAI
Conference on Artificial Intelligence (2018)
9.
S. Poria, E. Cambria, D. Hazarika,
N. Majumder
, A. Zadeh, L. Morency. Multi-level Multiple Attentions for Contextual Multimodal Sentiment
Analysis. In: 2017 IEEE International Conference on Data Mining (ICDM), pp. 1033–1038 (2017). ISSN 2374-8486. doi:10.1109/ICDM.2017.134
10.
S. Poria, E. Cambria, D. Hazarika,
N. Majumder
, A. Zadeh, L.-P. Morency. Context-Dependent Sentiment Analysis in User-Generated Videos. In:
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pp. 873–883. Association for
Computational Linguistics, Vancouver, Canada (2017)
Active Collaboration(s)
{ Computational Intelligence Lab, Nanyang Technological University, Singapore
PC Member of Conferences
{ PC member of AAAI 2019
{ PC member of CIACSA 2019
{ Student chair of CORE 2016
Technical Skills
Programming languages : Python, C, C++, Java, PL/SQL, Shell Script
Typesetting : L
A
T
E
X
DBMS
: Oracle
NN Frameworks
: PyTorch, Theano, Keras
Languages
Bengali : Fully proficient (Native) English : Fully proficient
Hindi
: Fully proficient Spanish : Moderately skilled