2021
EACL
EACL 2021
TrollMeta@DravidianLangTech-EACL2021: Meme classification using deep learning
Abstract
AbstractMemes act as a medium to carry oneโs feelings, cultural ideas, or practices by means of symbols, imitations, or simply images. Whenever social media is involved, hurting the feelings of others and abusing others are always a problem. Here we are proposing a system, that classifies the memes into abusive/offensive memes and neutral ones. The work involved classifying the images into offensive and non-offensive ones. The system implements resnet-50, a deep residual neural network architecture.
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Interdisciplinary Bridge
โ Artificial Intelligence and Deep Learning
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Cross-Pollinator
โ Artificial Intelligence, Computer Science, Computer Vision, Data Science & Analytics, Deep Learning, Healthcare & Medicine, Interdisciplinary, Knowledge & Reasoning, Machine Learning, Mathematics & Optimization, Natural Language Processing, Reinforcement Learning, Robotics, Security & Privacy, Speech & Audio