Multimodal Hate Speech Detection in Memes Using Contrastive Language-Image Pre-Training

G Arya, MK Hasan, A Bagwari, N Safie, S Islam… - IEEE …, 2024 - ieeexplore.ieee.org
In contemporary society, the proliferation of online hateful messages has emerged as a
pressing concern, inflicting deleterious consequences on both societal fabric and individual …

Arabic Fake News Detection using Ensemble Technique

DH Abd, MF Mahdi, MA Jassim… - 2023 16th International …, 2023 - ieeexplore.ieee.org
Similar to most spoken languages worldwide, Arabic language is facing a significant
problem with the rapid spread of fake information, which requires effective methods to detect …

Gene Disease Classification from Biomedical Text via Ensemble Machine Learning

RF Ghazi, DH Abd - 2023 16th International Conference on …, 2023 - ieeexplore.ieee.org
Detecting connections between genes and diseases is a vital endeavor in bioinformatics
and genomics, carrying significant implications for the entire comprehension of the …

Improving the CNN Model for Arabic Crime Tweet Detection Based on an Intelligent Dictionary

ZK Abdalrdha, AM Al-Bakry… - 2023 16th International …, 2023 - ieeexplore.ieee.org
Rising crime rates in Iraq and the Arab World pose significant challenges for law
enforcement, exacerbated by vast data on criminal activity, technological advances, and …

Feature Selection for Binary Dataset using Dragonfly Algorithm

ZT Raouf, DH Abd - 2023 16th International Conference on …, 2023 - ieeexplore.ieee.org
In contemporary times, the proliferation of data dimensionality has introduced many
challenges within the realm of machine learning. Consequently, identifying and selecting …

Enhancing Automatic English Word Analysis and Prediction using Higher-Order N-Gram Models

R Kumar, S Thirumaran - 2024 International Conference on …, 2024 - ieeexplore.ieee.org
The two components that make up the Text Mining framework are: Knowledge distillation is
the process of extracting recurring themes or information from the intermediate form and Text …