A Hybrid Approach Based Sentiment Extraction from Medical Context. - Anupam Mondal; Ranjan Satapathy; Dipankar Das 001; Sivaji Bandyopadhyay (SAAIP@IJCAI, 2016)

Phonetic-Based Microtext Normalization for Twitter Sentiment Analysis. - Ranjan Satapathy; Claudia Guerreiro; Iti Chaturvedi; Erik Cambria (ICDM Workshops, 2017)

Subjectivity Detection in Nuclear Energy Tweets. - Ranjan Satapathy; Iti Chaturvedi; Erik Cambria; Shirley S. Ho; Jin-Cheon Na (Computación y Sistemas, 2017)

BabelSenticNet: A Commonsense Reasoning Framework for Multilingual Sentiment Analysis. - David Vilares 001; Haiyun Peng; Ranjan Satapathy; Erik Cambria (SSCI, 2018)

Microtext Normalization for Chatbots. - Ranjan Satapathy; Erik Cambria; Nadia Magnenat-Thalmann (CICLing (1), 2019)

PhonSenticNet: A Cognitive Approach to Microtext Normalization for Concept-Level Sentiment Analysis. - Ranjan Satapathy; Aalind Singh; Erik Cambria (CSoNet, 2019)

Seq2Seq Deep Learning Models for Microtext Normalization. - Ranjan Satapathy; Yang Li 055; Sandro Cavallari; Erik Cambria (IJCNN, 2019)

Can a Humanoid Robot be part of the Organizational Workforce? A User Study Leveraging Sentiment Analysis. - Nidhi Mishra; Manoj Ramanathan; Ranjan Satapathy; Erik Cambria; Nadia Magnenat-Thalmann (RO-MAN, 2019)

Fuzzy commonsense reasoning for multimodal sentiment analysis. - Iti Chaturvedi; Ranjan Satapathy; Sandro Cavallari; Erik Cambria (Pattern Recognit. Lett., 2019)

A Review of Shorthand Systems: From Brachygraphy to Microtext and Beyond. - Ranjan Satapathy; Erik Cambria; Andrea Nanetti; Amir Hussain 001 (Cogn. Comput., 2020)

Gauging online and offline public opinion for social media monitoring - Ranjan Satapathy (2021)

Polarity and Subjectivity Detection with Multitask Learning and BERT Embedding. - Ranjan Satapathy; Shweta Pardeshi; Erik Cambria (Future Internet, 2022)

FinXABSA: Explainable Finance through Aspect-Based Sentiment Analysis. - Keane Ong; Wihan van der Heever; Ranjan Satapathy; Erik Cambria; Gianmarco Mengaldo (ICDM (Workshops), 2023)

Recent Developments in Recommender Systems: A Survey. - Yang Li 055; Kangbo Liu; Ranjan Satapathy; Suhang Wang; Erik Cambria (CoRR, 2023)

Plausible Extractive Rationalization through Semi-Supervised Entailment Signal. - Wei Jie Yeo; Ranjan Satapathy; Erik Cambria (ACL (Findings), 2024)

Self-training Large Language Models through Knowledge Detection. - Wei Jie Yeo; Teddy Ferdinan; Przemyslaw Kazienko; Ranjan Satapathy; Erik Cambria (EMNLP (Findings), 2024)

Neurosymbolic AI for Mining Key Aspects of Socially Responsible Investing. - Wihan van der Heever; Ranjan Satapathy; Erik Cambria; Rick Siow Mong Goh (ICDM (Workshops), 2024)

Sentiment Analysis on Climate Change for Sustainable Investment. - Keane Ong; Rui Mao 010; Deeksha Varshney; Ranjan Satapathy; Erik Cambria; Gianmarco Mengaldo (ICDM (Workshops), 2024)

Information Extraction: Unstructured to Structured for ESG Reports. - Zounachuan Sun; Ranjan Satapathy; Daixue Guo; Bo Li; Xinyuan Liu; Yangchen Zhang; Cheng-Ann Tan; Ricardo Shirota Filho; Rick Siow Mong Goh (ICDM (Workshops), 2024)

How Interpretable are Reasoning Explanations from Prompting Large Language Models? - Wei Jie Yeo; Ranjan Satapathy; Rich Siow Mong Goh; Erik Cambria (NAACL-HLT (Findings), 2024)

Towards Faithful Natural Language Explanations: A Study Using Activation Patching in Large Language Models. - Wei Jie Yeo; Ranjan Satapathy; Erik Cambria (CoRR, 2024)

SusGen-GPT: A Data-Centric LLM for Financial NLP and Sustainability Report Generation. - Qilong Wu; Xiaoneng Xiang; Hejia Huang; Xuan Wang; Rui Mao 010; Ranjan Satapathy; Ricardo Shirota Filho; Bharadwaj Veeravalli (CoRR, 2024)

Predicting word vectors for microtext. - Iti Chaturvedi; Ranjan Satapathy; Curtis Lynch; Erik Cambria (Expert Syst. J. Knowl. Eng., 2024)

SusGen-GPT: A Data-Centric LLM for Financial NLP and Sustainability Report Generation. - Qilong Wu; Xiaoneng Xiang; Hejia Huang; Xuan Wang; Wei Jie Yeo; Ranjan Satapathy; Ricardo Shirota Filho; Bharadwaj Veeravalli (NAACL (Findings), 2025)

Explainable natural language processing for corporate sustainability analysis. - Keane Ong; Rui Mao 010; Ranjan Satapathy; Ricardo Shirota Filho; Erik Cambria; Johan Sulaeman; Gianmarco Mengaldo (Inf. Fusion, 2025)

ESGSenticNet: A Neurosymbolic Knowledge Base for Corporate Sustainability Analysis. - Keane Ong; Rui Mao 010; Frank Xing; Ranjan Satapathy; Johan Sulaeman; Erik Cambria; Gianmarco Mengaldo (CoRR, 2025)

Debiasing CLIP: Interpreting and Correcting Bias in Attention Heads. - Wei Jie Yeo; Rui Mao 010; Moloud Abdar; Erik Cambria; Ranjan Satapathy (CoRR, 2025)

Understanding Refusal in Language Models with Sparse Autoencoders. - Wei Jie Yeo; Nirmalendu Prakash; Clement Neo; Roy Ka-Wei Lee; Erik Cambria; Ranjan Satapathy (CoRR, 2025)

A comprehensive review on financial explainable AI. - Wei Jie Yeo; Wihan van der Heever; Rui Mao 010; Erik Cambria; Ranjan Satapathy; Gianmarco Mengaldo (Artif. Intell. Rev., 2025)

Mitigating Jailbreaks with Intent-Aware LLMs. - Wei Jie Yeo; Ranjan Satapathy; Erik Cambria (CoRR, 2025)

Beyond I'm Sorry, I Can't: Dissecting Large Language Model Refusal. - Nirmalendu Prakash; Wei Jie Yeo; Amir Abdullah; Ranjan Satapathy; Erik Cambria; Roy Ka-Wei Lee (CoRR, 2025)