Unified and Multilingual Author Profiling for Detecting Haters
Universitat Politècnica de València（瓦伦西亚理工大学）
英文摘要：
This paper presents a unified user profiling framework to identify hate speech spreaders by processing their tweets regardless of the language. The framework encodes the tweets with sentence transformers and applies an attention mechanism to select important tweets for learning user profiles. Furthermore, the attention layer helps to explain why a user is a hate speech spreader by producing attention weights at both token and post level. Our proposed model outperformed the state-of-the-art multilingual transformer models.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
