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Ringki Das
Ringki Das
PhD Candidate
Verified email at cse.nits.ac.in
Title
Cited by
Cited by
Year
Multimodal sentiment analysis: a survey of methods, trends, and challenges
R Das, TD Singh
ACM Computing Surveys 55 (13s), 1-38, 2023
292023
Assamese news image caption generation using attention mechanism
R Das, TD Singh
Multimedia Tools and Applications 81 (7), 10051-10069, 2022
172022
A multi-stage multimodal framework for sentiment analysis of Assamese in low resource setting
R Das, TD Singh
Expert Systems with Applications 204, 117575, 2022
142022
Image–Text Multimodal Sentiment Analysis Framework of Assamese News Articles Using Late Fusion
R Das, TD Singh
ACM Transactions on Asian and Low-Resource Language Information Processing …, 2023
82023
A step towards sentiment analysis of assamese news articles using lexical features
R Das, TD Singh
Proceedings of the International Conference on Computing and Communication …, 2021
72021
NITS-Hinglish-SentiMix at SemEval-2020 Task 9: sentiment analysis for code-mixed social media text using an ensemble model
SJ Baroi, N Singh, R Das, TD Singh
arXiv preprint arXiv:2007.12081, 2020
72020
Hindi to English Multimodal Machine Translation on News Dataset in Low Resource Setting
LS Meetei, SM Singh, A Singh, R Das, TD Singh, S Bandyopadhyay
Procedia Computer Science 218, 2102-2109, 2023
52023
Image caption generation framework for assamese news using attention mechanism
R Das, TD Singh
Proceedings of the 18th International Conference on Natural Language …, 2021
22021
A hybrid fusion-based machine learning framework to improve sentiment prediction of assamese in low resource setting
R Das, TD Singh
Multimedia Tools and Applications 83 (8), 22153-22172, 2024
12024
VATEX2020: pLSTM framework for video captioning
A Singh, SM Singh, LS Meetei, R Das, TD Singh, S Bandyopadhyay
Procedia Computer Science 218, 1229-1237, 2023
12023
Automatic extraction of locations from news articles using domain knowledge
LS Meetei, R Das, TD Singh, S Bandyopadhyay
International conference on big data, machine learning, and applications, 36-47, 2019
12019
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