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ORCIDRanjan Satapathy
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2020 – today
- 2025
[j6]Keane Ong
, Rui Mao, Ranjan Satapathy, Ricardo Shirota Filho, Erik Cambria, Johan Sulaeman, Gianmarco Mengaldo:
Explainable natural language processing for corporate sustainability analysis. Inf. Fusion 115: 102726 (2025)- 2024
- [j5]Iti Chaturvedi, Ranjan Satapathy, Curtis Lynch, Erik Cambria:
Predicting word vectors for microtext. Expert Syst. J. Knowl. Eng. 41(8) (2024) - [c11]Wei Jie Yeo, Ranjan Satapathy, Erik Cambria:
Plausible Extractive Rationalization through Semi-Supervised Entailment Signal. ACL (Findings) 2024: 5182-5192 - [c10]Wei Jie Yeo, Teddy Ferdinan, Przemyslaw Kazienko, Ranjan Satapathy, Erik Cambria:
Self-training Large Language Models through Knowledge Detection. EMNLP (Findings) 2024: 15033-15045 - [c9]Wei Jie Yeo, Ranjan Satapathy, Rich Siow Mong Goh, Erik Cambria:
How Interpretable are Reasoning Explanations from Prompting Large Language Models? NAACL-HLT (Findings) 2024: 2148-2164 - [i11]Wei Jie Yeo, Ranjan Satapathy, Erik Cambria:
Plausible Extractive Rationalization through Semi-Supervised Entailment Signal. CoRR abs/2402.08479 (2024) - [i10]Wei Jie Yeo, Ranjan Satapathy, Rick Siow Mong Goh, Erik Cambria:
How Interpretable are Reasoning Explanations from Prompting Large Language Models? CoRR abs/2402.11863 (2024) - [i9]Wei Jie Yeo, Teddy Ferdinan, Przemyslaw Kazienko, Ranjan Satapathy, Erik Cambria:
Self-training Large Language Models through Knowledge Detection. CoRR abs/2406.11275 (2024) - [i8]Keane Ong, Rui Mao, Ranjan Satapathy, Ricardo Shirota Filho, Erik Cambria, Johan Sulaeman, Gianmarco Mengaldo:
Explainable Natural Language Processing for Corporate Sustainability Analysis. CoRR abs/2407.17487 (2024) - [i7]Wei Jie Yeo, Ranjan Satapathy, Erik Cambria:
Towards Faithful Natural Language Explanations: A Study Using Activation Patching in Large Language Models. CoRR abs/2410.14155 (2024) - 2023
- [c8]Keane Ong, Wihan van der Heever, Ranjan Satapathy, Erik Cambria, Gianmarco Mengaldo:
FinXABSA: Explainable Finance through Aspect-Based Sentiment Analysis. ICDM (Workshops) 2023: 773-782 - [i6]Keane Ong, Wihan van der Heever, Ranjan Satapathy, Gianmarco Mengaldo, Erik Cambria:
FinXABSA: Explainable Finance through Aspect-Based Sentiment Analysis. CoRR abs/2303.02563 (2023) - [i5]Yang Li, Kangbo Liu, Ranjan Satapathy, Suhang Wang, Erik Cambria:
Recent Developments in Recommender Systems: A Survey. CoRR abs/2306.12680 (2023) - [i4]Wei Jie Yeo, Wihan van der Heever, Rui Mao, Erik Cambria, Ranjan Satapathy, Gianmarco Mengaldo:
A Comprehensive Review on Financial Explainable AI. CoRR abs/2309.11960 (2023) - 2022
- [j4]Ranjan Satapathy, Shweta Pardeshi, Erik Cambria:
Polarity and Subjectivity Detection with Multitask Learning and BERT Embedding. Future Internet 14(7): 191 (2022) - [i3]Ranjan Satapathy, Shweta Pardeshi, Erik Cambria:
Polarity and Subjectivity Detection with Multitask Learning and BERT Embedding. CoRR abs/2201.05363 (2022) - 2021
- [b1]Ranjan Satapathy:
Gauging online and offline public opinion for social media monitoring. Nanyang Technological University, Singapore, 2021 - 2020
- [j3]Ranjan Satapathy, Erik Cambria, Andrea Nanetti, Amir Hussain:
A Review of Shorthand Systems: From Brachygraphy to Microtext and Beyond. Cogn. Comput. 12(4): 778-792 (2020)
2010 – 2019
- 2019
- [j2]Iti Chaturvedi, Ranjan Satapathy, Sandro Cavallari, Erik Cambria:
Fuzzy commonsense reasoning for multimodal sentiment analysis. Pattern Recognit. Lett. 125: 264-270 (2019) - [c7]Ranjan Satapathy, Erik Cambria, Nadia Magnenat-Thalmann:
Microtext Normalization for Chatbots. CICLing (1) 2019: 293-303 - [c6]Ranjan Satapathy, Aalind Singh, Erik Cambria:
PhonSenticNet: A Cognitive Approach to Microtext Normalization for Concept-Level Sentiment Analysis. CSoNet 2019: 177-188 - [c5]Ranjan Satapathy, Yang Li, Sandro Cavallari, Erik Cambria:
Seq2Seq Deep Learning Models for Microtext Normalization. IJCNN 2019: 1-8 - [c4]Nidhi Mishra, Manoj Ramanathan, Ranjan Satapathy, Erik Cambria, Nadia Magnenat-Thalmann:
Can a Humanoid Robot be part of the Organizational Workforce? A User Study Leveraging Sentiment Analysis. RO-MAN 2019: 1-7 - [i2]Ranjan Satapathy, Aalind Singh, Erik Cambria:
PhonSenticNet: A Cognitive Approach to Microtext Normalization for Concept-Level Sentiment Analysis. CoRR abs/1905.01967 (2019) - [i1]Nidhi Mishra, Manoj Ramanathan, Ranjan Satapathy, Erik Cambria, Nadia Magnenat-Thalmann:
Can a Humanoid Robot be part of the Organizational Workforce? A User Study Leveraging Sentiment Analysis. CoRR abs/1905.08937 (2019) - 2018
- [c3]David Vilares, Haiyun Peng, Ranjan Satapathy, Erik Cambria:
BabelSenticNet: A Commonsense Reasoning Framework for Multilingual Sentiment Analysis. SSCI 2018: 1292-1298 - 2017
- [j1]Ranjan Satapathy, Iti Chaturvedi, Erik Cambria, Shirley S. Ho, Jin-Cheon Na:
Subjectivity Detection in Nuclear Energy Tweets. Computación y Sistemas 21(4) (2017) - [c2]Ranjan Satapathy, Claudia Guerreiro, Iti Chaturvedi, Erik Cambria:
Phonetic-Based Microtext Normalization for Twitter Sentiment Analysis. ICDM Workshops 2017: 407-413 - 2016
- [c1]Anupam Mondal, Ranjan Satapathy, Dipankar Das, Sivaji Bandyopadhyay:
A Hybrid Approach Based Sentiment Extraction from Medical Context. SAAIP@IJCAI 2016: 35-40
Coauthor Index
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