Sarcasm Detection

Sarcasm detection, the task of automatically identifying sarcastic intent in text and multimodal data, aims to improve natural language understanding and sentiment analysis. Current research focuses on leveraging large language models (LLMs) and multimodal models, often incorporating contextual cues like prosody, visual information, and emoji, to overcome the challenges posed by sarcasm's inherent ambiguity. These advancements are significant for applications ranging from social media monitoring to improved human-computer interaction, as accurate sarcasm detection enhances the ability of systems to understand nuanced human communication. However, challenges remain in generalizing across different datasets and sarcasm styles, highlighting the need for more robust and explainable models.