Shah, Rajiv Ratn

Deep Attentive Learning for Stock Movement Prediction From Social Media Text and Company Correlations

Sawhney, R., Agarwal, S., Wadhwa, A., & Shah, R. R. (2020) · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)

Stock Market Forecasting MethodsFinancial Markets and Investment Strategies

Cited by 146

DeToxy: A Large-Scale Multimodal Dataset for Toxicity Classification in Spoken Utterances

Ghosh, S., Lepcha, S., Sakshi, S., Shah, R. R., & Umesh, S. (2021) · arXiv

Hate Speech and Cyberbullying DetectionSentiment Analysis and Opinion Mining

Cited by 13

Multimodal Multi-Speaker Merger & Acquisition Financial Modeling: A New Task, Dataset, and Neural Baselines

Sawhney, R., Goyal, M., Goel, P., Mathur, P., & Shah, R. R. (2021) · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)

Multimodal Machine Learning ApplicationsSpeech and dialogue systems

Cited by 8

Improving Physics Reasoning in Large Language Models Using Mixture of Refinement Agents

Jaiswal, R., Jain, D., Popat, H. P., Anand, A., Dharmadhikari, A., Marathe, A., & Shah, R. R. (2024) · arXiv

Topic ModelingMultimodal Machine Learning Applications

Cited by 0