ANONYMIZATION OF SENSITIVE DATA IN UNSTRUCTURED DOCUMENTS USING NLP
Anushree Raj, Rio G. L. D’Souza · INTERNATIONAL JOURNAL OF MECHANICAL ENGINEERING AND TECHNOLOGY (IJMET) · 2021
Lot of researchers have worked for the progress of anonymization of structured data through spread-sheets and database tools.Masking of sensitive information in structured data and data anonymization is possible through algorithms or techniques.But anonymizing unstructured data is a real challenge since data currently exists in different form.The study which ensures to cope with the interactions between human language and computers is called NLP.Natural Language Processing is the sub-field of AI which focuses on enabling computers to understand and process human languages.Further, we provide the deeper insight on how NLP works and show how a system can understand unstructured text, extract sensitive data and perform anonymization.The proposed anonymization procedure provides a system to apply text anonymization on unstructured original medical-records of an individual and release the anonymized document to help researchers for further study or investigation by preserving the privacy of the concerned individual.