Multi Label Condescension Detection

Multi-label Condescension Detection is a specific task in natural language processing aimed at identifying and classifying multiple types of condescending or disparaging tones that coexist in a text. This task involves analyzing the emotional and semantic features of the text to accurately pinpoint various forms of condescension, thereby helping to improve interpersonal communication, enhance content moderation efficiency, and improve user interaction experiences. Its application value lies in effectively filtering out inappropriate comments and maintaining a healthy and harmonious online environment.