mddunlap924/PII-Detection
Personal Identifiable Information (PII) entity detection and performance enhancement with synthetic data generation
This project helps organizations automatically find and redact sensitive personal information in documents like essays or customer interactions. It takes unstructured text as input and outputs the same text with all identified personal data (names, phone numbers, addresses, etc.) clearly marked or removed. This is useful for anyone managing large volumes of text who needs to ensure data privacy and compliance, such as data privacy officers or compliance managers.
No commits in the last 6 months.
Use this if you need to automatically detect and protect personal identifiable information within large collections of text-based documents to meet privacy regulations or secure sensitive data.
Not ideal if you primarily need to identify information that isn't considered PII, or if your data is not in text format.
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36
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4
Language
Python
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Category
Last pushed
Sep 04, 2024
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