ABOUT
Dr. Ranjan is a researcher with 20+ co-authored research papers and 7 years of expertise in Natural Language Processing, Natural Language Understanding, Deep Learning, and Opinion Mining. Throughout his career, he has made substantial contributions to these domains. His research primarily revolves around advancing algorithms and methodologies for effectively comprehending and analyzing human language, with a particular focus on sustainable finance and Semantic AI. With his exceptional skills and deep understanding of cutting-edge techniques, Dr. Ranjan continues to drive advancements in Natural Language Processing and related disciplines. His passion for exploring new avenues and creating practical solutions underscores his commitment to advancing the field and making a meaningful impact. In addition to his research, he is also involved in teaching and mentoring students and has a strong track record of mentoring to develop skills and knowledge in AI/ML domain. He is also passionate about entrepreneurship and loves to work with people who are driven to make a difference in the world. I graduated from Nanyang Technological University with a Ph.D. degree, under the supervision of Dr. Erik Cambria with specialization in Natural Language Understanding and Opinion Mining. I have been working in the field of Natural Language Processing and Opinion Mining for 7 years. My current research interest lies at the intersection of Sustainable and Green Finance, Explainability and Interpretability, and Generative AI. I am enthusiastic about collaboration and eager to offer guidance and support to startups and individuals. Explore my Google Scholar profile for a comprehensive list of my publications. Let's connect and explore the possibilities together!
PUBLICATIONS
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Sentiment analysis in the bio-medical domain: techniques, tools, and applications
Springer Interntional Publishing AG,
[Book] -
Survey of Speechless Interaction Techniques in Social Robotics
Intelligent Scene Modeling and Human-Computer Interaction, Springer
[Book Chapter] -
Plausible Extractive Rationalization through Semi-Supervised Entailment Signal
Accepted in ACL Findings 2024 -
How Interpretable are Reasoning Explanations from Prompting Large Language Models?
Accepted in NAACL Findings 2024 -
Recent Development of Recommender System: a survey
Accepted in IEEE Computational Intelligence Magazine 2024 [IEEE CIM] -
Polarity and Subjective classification with Multi-task Learning and BERT Embedding
Accepted in Future Internet 2022 [Future Internet] -
A Review of Shorthand Systems:From Brachygraphy to Microtext and Beyond
Accepted in Cognitive Computation Journal 2020, [COGN. COMP.] -
Seq2Seq Deep Learning Models for Microtext Normalization
Accepted in IJCNN 2019,
[IEEE] -
PhonSenticNet: A Cognitive Approach to Microtext Normalization for Concept-Level Sentiment Analysis
Accepted in CSoNet 2019,
[arXiv] -
Fuzzy commonsense reasoning for multimodal sentiment analysis
Pattern Recognition Letters 125, 264-270,
[Paper] -
Can a Humanoid Robot be part of the Organizational Work Force? A User Study leveraging on Sentiment Analysis
Accepted in RO-MAN 2019
[arXiv] -
BabelSenticNet: a commonsense reasoning framework for multilingual sentiment analysis
2018 IEEE Symposium Series on Computational Intelligence (SSCI)
[Paper] -
Subjectivity Detection in Nuclear Energy Tweets
Computación y Sistemas 2017
[Paper] -
Phonetic-based microtext normalization for twitter sentiment analysis
2017 IEEE International Conference on Data Mining Workshops (ICDMW)
[Paper]
Books and Book Chapter
Accepted Papers
BLOG
I frequently like writing blogs and would love your feedback. Check out my posts below:
NLP for Social Good — Part I - Jan 28, 2020
Question Answering in Natural Language Processing - August 11, 2018
Text Normalization in NLP: An Introduction - Jan 9, 2018
How to choose keywords in Twitter for data mining - Jun 28, 2017
Ranjan Satapathy 2025