Emoji Prediction
Emoji prediction research focuses on automatically selecting the most appropriate emoji to accompany given text, aiming to improve the accuracy and nuance of digital communication. Current work explores various model architectures, including transformer-based models like BERT and LLMs, and utilizes techniques such as contrastive learning and federated learning to enhance performance and address privacy concerns in multilingual contexts. This field is significant for advancing natural language processing, improving sentiment analysis, and creating more engaging and expressive digital interactions across diverse languages and platforms.
Papers
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