Meme Analysis

Meme analysis is a burgeoning field focused on understanding the meaning, sentiment, and impact of memes, leveraging their multimodal nature (text and image). Current research emphasizes developing robust models, often employing architectures like CLIP, BERT, and Vision Transformers, to analyze sentiment, emotion, and even identify cyberbullying within memes, often incorporating techniques like multimodal learning and reinforcement learning to improve accuracy. This research is significant for its potential applications in social media monitoring, understanding online discourse, and developing more nuanced AI systems capable of interpreting complex human communication.