Humor Detection

Humor detection is a significant task in the field of natural language processing, aimed at identifying humorous elements in text. This task involves analyzing the semantics, syntax, and context of language to determine whether the text has a comedic or entertaining effect. Humor detection not only helps enhance the naturalness and affinity of human-computer interaction but also plays a crucial role in applications such as social media monitoring, sentiment analysis, and content recommendation.