97 citations · 98 across the 3 of their papers we have counts for
3 papers
cs.MM2022★ 1 cited
ETMA: Efficient Transformer Based Multilevel Attention framework for Multimodal Fake News Detection
Ashima Yadav, Shivani Gaba, Haneef Khan +3
In this new digital era, social media has created a severe impact on the lives of people. In recent times, fake news content on social media has become one of the major challenging…
cs.MM2020★ 97 cited
A Deep Multi-Level Attentive network for Multimodal Sentiment Analysis
Ashima Yadav, Dinesh Kumar Vishwakarma
Multimodal sentiment analysis has attracted increasing attention with broad application prospects. The existing methods focuses on single modality, which fails to capture the socia…
cs.CL2020
A Deep Language-independent Network to analyze the impact of COVID-19 on the World via Sentiment Analysis
Ashima Yadav, Dinesh Kumar Vishwakarma
Towards the end of 2019, Wuhan experienced an outbreak of novel coronavirus, which soon spread all over the world, resulting in a deadly pandemic that infected millions of people a…