| Fuzzy commonsense reasoning for multimodal sentiment analysis I Chaturvedi, R Satapathy, S Cavallari, E Cambria Pattern Recognition Letters 125, 264-270, 2019 | 178 | 2019 |
| Phonetic-based microtext normalization for twitter sentiment analysis R Satapathy, C Guerreiro, I Chaturvedi, E Cambria 2017 IEEE International Conference on Data Mining Workshops (ICDMW), 407-413, 2017 | 87 | 2017 |
| BabelSenticNet: a commonsense reasoning framework for multilingual sentiment analysis D Vilares, H Peng, R Satapathy, E Cambria 2018 IEEE Symposium Series on Computational Intelligence (SSCI), 1292-1298, 2018 | 85 | 2018 |
| A Review of Shorthand Systems: From Brachygraphy to Microtext and Beyond R Satapathy, E Cambria, A Nanetti, A Hussain Cognitive Computation, 2020 | 32 | 2020 |
| Sentiment analysis in the bio-medical domain: techniques, tools, and applications R Satapathy, E Cambria, A Hussain Springer, 2018 | 31* | 2018 |
| Seq2Seq Deep Learning Models for Microtext Normalization R Satapathy, Y Li, S Cavallari, E Cambria International Joint Conference on Neural Networks (IJCNN), 1-8, 2019 | 27 | 2019 |
| PhonSenticNet: A Cognitive Approach to Microtext Normalization for Concept-Level Sentiment Analysis R Satapathy, A Singh, E Cambria Proceedings of CSoNet, 2019 | 18 | 2019 |
| Can a Humanoid Robot be part of the Organizational Workforce? A User Study Leveraging Sentiment Analysis N Mishra, M Ramanathan, R Satapathy, E Cambria, ... IEEE International Workshop on Robot and Human Communication (ROMAN), 1-7, 2019 | 18 | 2019 |
| Subjectivity Detection in Nuclear Energy Tweets R Satapathy, I Chaturvedi, E Cambria, SS Ho, JC Na Computación y Sistemas 21 (4), 657-664, 2017 | 17 | 2017 |
| Polarity and subjectivity detection with multitask learning and BERT embedding R Satapathy, SR Pardeshi, E Cambria Future Internet 14 (7), 191, 2022 | 15 | 2022 |
| Recent developments in recommender systems: a survey Y Li, K Liu, R Satapathy, S Wang, E Cambria IEEE Computational Intelligence Magazine 19 (2), 78-95, 2024 | 13 | 2024 |
| A Comprehensive Review on Financial Explainable AI WJ Yeo, W van der Heever, R Mao, E Cambria, R Satapathy, G Mengaldo arXiv preprint arXiv:2309.11960, 2023 | 13 | 2023 |
| FinXABSA: Explainable finance through aspect-based sentiment analysis K Ong, W van der Heever, R Satapathy, E Cambria, G Mengaldo 2023 IEEE International Conference on Data Mining Workshops (ICDMW), 773-782, 2023 | 9 | 2023 |
| How Interpretable are Reasoning Explanations from Prompting Large Language Models? YW Jie, R Satapathy, GS Mong, E Cambria Proceedings of NAACL, 2024 | 6 | 2024 |
| Speech Emotion Recognition Using Audio Matching I Chaturvedi, T Noel, R Satapathy Electronics 11 (23), 3943, 2022 | 5 | 2022 |
| Plausible Extractive Rationalization through Semi-Supervised Entailment Signal YW Jie, R Satapathy, E Cambria ACL Findings, 2024 | 2 | 2024 |
| Self-training Large Language Models through Knowledge Detection WJ Yeo, T Ferdinan, P Kazienko, R Satapathy, E Cambria arXiv preprint arXiv:2406.11275, 2024 | 1 | 2024 |
| Predicting word vectors for microtext I Chaturvedi, R Satapathy, C Lynch, E Cambria Expert Systems, e13589, 2024 | 1 | 2024 |
| Gauging online and offline public opinion for social media monitoring R Satapathy Nanyang Technological University, Singapore, 2021 | 1 | 2021 |
| Survey of Speechless Interaction Techniques in Social Robotics M Ramanathan, R Satapathy, N Magnenat Thalmann Intelligent Scene Modeling and Human-Computer Interaction, 241-257, 2021 | 1 | 2021 |
Erik CambriaProfessor of Computing and Data Science, NTU SingaporeVerified email at ntu.edu.sg
