A hybrid rule-based NLP and machine learning approach for PII detection and anonymization in financial documents

A hybrid rule-based NLP and machine learning approach for PII detection and anonymization in financial documents

Abstract Safeguarding Personally Identifiable Information (PII) in financial documents is essential to prevent data breaches and maintain regulatory compliance. This research presents a scalable hybrid approach that integrates rule-based Natural Language Processing (NLP), Machine Learning (ML) appro...

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Bibliographic Details
Main Authors: Kushagra Mishra, Harsh Pagare, Kanhaiya Sharma
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Scientific Reports
Subjects:
Machine learning
Natural language processing
Personally identifiable information
Data anonymization
Financial data security
Online Access:https://doi.org/10.1038/s41598-025-04971-9
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