Attention-Based Fusion for Multimodal Hate Speech Analysis
Attention-Based Fusion for Multimodal Hate Speech Analysis
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This research presentation delves into the realm of multimodal hate speech detection, highlighting the complexities and benefits of merging diverse data types for contextual understanding. It traces the progression from traditional machine learning to advanced deep learning methodologies, emphasising the importance of multimodal learning. The presentation identifies significant research gaps, particularly in fusion strategies, and aims to address these by developing robust multimodal models....