Hate speech detection in social media: Techniques, recent trends, and future challenges
Abstract The realm of Natural Language Processing and Text Mining has seen a surge in
interest from researchers in hate speech detection, leading to an increase in related studies …
interest from researchers in hate speech detection, leading to an increase in related studies …
Bridge Graph Attention based Graph Convolution Network with Multi-Scale Transformer for EEG Emotion Recognition
H Yan, K Guo, X **ng, X Xu - IEEE Transactions on Affective …, 2024 - ieeexplore.ieee.org
In multichannel electroencephalograph (EEG) emotion recognition, most graph-based
studies employ shallow graph model for spatial characteristics learning due to node over …
studies employ shallow graph model for spatial characteristics learning due to node over …
Modeling offensive content detection for TikTok
The advent of social media transformed interpersonal communication and information
consumption processes. This digital landscape accommodates user intentions, also …
consumption processes. This digital landscape accommodates user intentions, also …
A Comparative Exploration of Machine Learning and Graph Deep Learning Models for Discriminatory Speech Detection
J Kavya, KNP Reddy, P Maddipatla… - … on Advancement in …, 2024 - ieeexplore.ieee.org
In an era marked by digital expansion, discriminatory speech remains a widespread
concern, exerting significant societal implications. This study presents an overview of …
concern, exerting significant societal implications. This study presents an overview of …
Dlas-Hsd: A Dual-Level Framework for Hate Speech Detection Fusing Affective and Semantic Information
Y Lei, J Yang, T Li, Y Mu, D Jia - Available at SSRN 5108773 - papers.ssrn.com
Amid rising regional conflicts and the widespread use of social media, the rapid spread of
hate speech has fueled tensions and could incite real-world violence. Consequently, hate …
hate speech has fueled tensions and could incite real-world violence. Consequently, hate …