RanjanSatapathy

Ranjan Satapathy


NLP Scientist | GenAI | Sustainable Finance





ABOUT

I am a Senior Scientist at IHPC, A*STAR, where I lead Semantic AI for Sustainable and Green Finance Domain. 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

    Books and Book Chapter


  • Sentiment analysis in the bio-medical domain: techniques, tools, and applications
    Ranjan Satapathy, Erik Cambria, Amir Hussain
    Springer Interntional Publishing AG,
    [Book]
  • Survey of Speechless Interaction Techniques in Social Robotics
    Ramanathan, Manoj, Ranjan Satapathy, and Nadia Magnenat Thalmann.
    Intelligent Scene Modeling and Human-Computer Interaction, Springer
    [Book Chapter]
  • Accepted Papers


  • Plausible Extractive Rationalization through Semi-Supervised Entailment Signal
    Yeo Wei Jie, Satapathy Ranjan, Cambria Erik
    Accepted in ACL Findings 2024
  • How Interpretable are Reasoning Explanations from Prompting Large Language Models?
    Yeo Wei Jie, Satapathy Ranjan, Mong Goh Siow Rick, Cambria Erik
    Accepted in NAACL Findings 2024
  • Recent Development of Recommender System: a survey
    Li, Yang and Liu, Kangbo and Satapathy, Ranjan and Wang, Suhang and Cambria, Erik
    Accepted in IEEE Computational Intelligence Magazine 2024 [IEEE CIM]
  • Polarity and Subjective classification with Multi-task Learning and BERT Embedding
    Ranjan Satapathy, Shweta Pardeshi and Erik Cambria
    Accepted in Future Internet 2022 [Future Internet]
  • A Review of Shorthand Systems:From Brachygraphy to Microtext and Beyond
    Ranjan Satapathy, Erik Cambria, Andrea Nanetti, Amir Hussain
    Accepted in Cognitive Computation Journal 2020, [COGN. COMP.]
  • Seq2Seq Deep Learning Models for Microtext Normalization
    Ranjan Satapathy, Yang Li, Sandro Cavallari, Erik Cambria
    Accepted in IJCNN 2019,
    [IEEE]
  • PhonSenticNet: A Cognitive Approach to Microtext Normalization for Concept-Level Sentiment Analysis
    Ranjan Satapathy, Aalind Singh, Erik Cambria
    Accepted in CSoNet 2019,
    [arXiv]
  • Fuzzy commonsense reasoning for multimodal sentiment analysis
    I Chaturvedi, R Satapathy, S Cavallari, E Cambria
    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
    Nidhi Mishra, Manoj Ramanathan, Ranjan Satapathy, Erik Cambria, Nadia Magnenat-Thalmann
    Accepted in RO-MAN 2019
    [arXiv]
  • BabelSenticNet: a commonsense reasoning framework for multilingual sentiment analysis
    David Vilares, Haiyun Peng, Ranjan Satapathy, Erik Cambria
    2018 IEEE Symposium Series on Computational Intelligence (SSCI)
    [Paper]
  • Subjectivity Detection in Nuclear Energy Tweets
    Ranjan Satapathy, Iti Chaturvedi, Erik Cambria, Shirley S Ho, Jin Cheon Na
    Computación y Sistemas 2017
    [Paper]
  • Phonetic-based microtext normalization for twitter sentiment analysis
    Ranjan Satapathy, Claudia Guerreiro, Iti Chaturvedi, Erik Cambria
    2017 IEEE International Conference on Data Mining Workshops (ICDMW)
    [Paper]

Research Facts

My GScholar h-index is:12 and Erdos number is:3


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