Text Anonymization

Text Anonymization is a crucial technique in natural language processing aimed at systematically removing personal identifying information from text data to ensure that sensitive information is not disclosed during data sharing and analysis. Its primary goal is to protect privacy while maintaining the semantic and structural integrity of the text, thereby supporting research and application needs. This technology is widely used in medical records, social media, customer feedback, and other fields, effectively enhancing the security and compliance of data.