most citedDeep Learning-based Sentiment Analysis of Olympics Tweets

3 citations · 3 across the 2 of their papers we have counts for

collaborators

2 papers

physics.plasm-ph2026

Deep Learning Models for ADITYA-U MHD Equilibrium

Udaya Maurya, Suman Aich, Indranil Bandyopadhyay +1

This work presents deep learning models to predict magnetohydrodynamic equilibrium parameters and profiles for the ADITYA-U tokamak. A synthetic free-boundary equilibrium dataset c…

cs.CL2024★ 3 cited

Deep Learning-based Sentiment Analysis of Olympics Tweets

Indranil Bandyopadhyay, Rahul Karmakar

Sentiment analysis (SA), is an approach of natural language processing (NLP) for determining a text's emotional tone by analyzing subjective information such as views, feelings, an…