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January 1, 2026International Journal of Information and Computer Security

Context-aware sensitive information detection in unstructured text using BERT

Longjam Velentina Devi Navanath Saharia

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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.

Implication

Demonstrates effective sensitive information detection in unstructured text, highlighting AI's potential.

Abstract

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Cite This Study

Devi et al. (2026) studied this question.

synapsesocial.com/papers/69fd7fa1bfa21ec5bbf08206 https://doi.org/10.1504/ijics.2026.10078195

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Keep reading

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

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