23 citations · 32 across the 6 of their papers we have counts for
6 papers
A Comprehensive Review on Hashtag Recommendation: From Traditional to Deep Learning and Beyond
Shubhi Bansal, Kushaan Gowda, Anupama Sureshbabu K +2
The exponential growth of user-generated content on social media platforms has precipitated significant challenges in information management, particularly in content organization,…
Sentiment and Hashtag-aware Attentive Deep Neural Network for Multimodal Post Popularity Prediction
Shubhi Bansal, Mohit Kumar, Chandravardhan Singh Raghaw +1
Social media users articulate their opinions on a broad spectrum of subjects and share their experiences through posts comprising multiple modes of expression, leading to a notable…
AMuSeD: An Attentive Deep Neural Network for Multimodal Sarcasm Detection Incorporating Bi-modal Data Augmentation
Xiyuan Gao, Shubhi Bansal, Kushaan Gowda +4
Detecting sarcasm effectively requires a nuanced understanding of context, including vocal tones and facial expressions. The progression towards multimodal computational methods in…
User-Aware Multilingual Abusive Content Detection in Social Media
Mohammad Zia Ur Rehman, Somya Mehta, Kuldeep Singh +2
Despite growing efforts to halt distasteful content on social media, multilingualism has added a new dimension to this problem. The scarcity of resources makes the challenge even g…
A Human-Centered Approach for Improving Supervised Learning
Shubhi Bansal, Atharva Tendulkar, Nagendra Kumar
Supervised Learning is a way of developing Artificial Intelligence systems in which a computer algorithm is trained on labeled data inputs. Effectiveness of a Supervised Learning a…
MMCFND: Multimodal Multilingual Caption-aware Fake News Detection for Low-resource Indic Languages
Shubhi Bansal, Nishit Sushil Singh, Shahid Shafi Dar +1
The widespread dissemination of false information through manipulative tactics that combine deceptive text and images threatens the integrity of reliable sources of information. Wh…