SOURCE-LINKED INTELLIGENCE
MemeTAG: Keyword-Driven Meme Classification through Tag Embedding Reconstruction
The proliferation of harmful internet memes poses a significant societal threat, yet their automated classification remains a formidable algorithmic challenge due to the nuanced, multimodal nature of their content. To address this, we introduce MemeTAG, a novel dual-objective framework that pioneers a keyword-aware approach to meme classification. Our core innovation is a two-part semantic guidance mechanism: first, we leverage a pretrained Vision-Language Model to generate a set of descriptive keywords, that capture the high-level semantics. Second, we introduce the Aggregated Tag Inference N
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-17T18:17:12.000Z
First collected: 2026-09-23T14:12:08.350Z. This is not the publication date.