Context-aware sensitive information detection in unstructured text using BERT

Key Points

• This research aims to enhance the detection of sensitive information in unstructured text by leveraging BERT, a deep learning model.
• Utilized BERT for contextual understanding of text data
• Analyzed unstructured text to identify sensitive information
• Implemented AI techniques to improve information detection accuracy.
• BERT achieved a significant increase in accuracy for sensitive information detection compared to traditional methods
• Detected sensitive data with over 90% precision
• Demonstrated a reduction of false positives by 30% using context-aware strategies.