Comment Classification
Comment classification focuses on automatically categorizing online comments, aiming to improve content moderation, recommendation systems, and understanding public opinion. Current research heavily utilizes transformer-based models, often enhanced with techniques like multi-level layer aggregation, self-training, and large language model integration to improve accuracy and efficiency across various languages and modalities (text, image, video). This field is significant for mitigating online harms like hate speech and bias, personalizing user experiences, and providing valuable insights into social dynamics and sentiment analysis across diverse online platforms.
Papers
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