Dark Humor Detection

Dark Humor Detection is a significant task in the field of natural language processing, aiming to identify and analyze elements of dark humor in text through algorithms. The goal of this task is to accurately capture and understand the emotional characteristics involved in the text, such as irony, absurdity, and irreverence, to achieve automatic detection of dark humor. Its application value is extensive, including social media monitoring, content moderation, sentiment analysis, and human-computer interaction, which helps enhance the intelligence level of systems and user experience.