Quantifying Variations in Controversial Discussions within Kuwaiti Social Networks
During the COVID-19 pandemic, pro-vaccine and anti-vaccine groups emerged, influencing
others to vaccinate or abstain and leading to polarized debates. Due to incomplete user data …
others to vaccinate or abstain and leading to polarized debates. Due to incomplete user data …
IKDSumm: Incorporating key-phrases into BERT for extractive disaster tweet summarization
Online social media platforms, such as Twitter, are one of the most valuable sources of
information during disaster events. Humanitarian organizations, government agencies, and …
information during disaster events. Humanitarian organizations, government agencies, and …
SigGAN: Adversarial model for learning signed relationships in networks
R Chakraborty, R Das, J Chandra - ACM Transactions on Knowledge …, 2023 - dl.acm.org
Signed link prediction in graphs is an important problem that has applications in diverse
domains. It is a binary classification problem that predicts whether an edge between a pair of …
domains. It is a binary classification problem that predicts whether an edge between a pair of …
Political Stance Detection in Estonian News Media
L Lüüsi, U Kangur, R Chakraborty… - Proceedings of the 9th …, 2024 - aclanthology.org
Newspapers have always remained an important medium for disseminating information to
the masses. With continuous access and availability of news, there is a severe competition …
the masses. With continuous access and availability of news, there is a severe competition …