edwardcooper/data-sentry
A project to build a machine learning pipeline to detect personal identifiable information (PII)
This tool helps you automatically identify and flag sensitive personal information within large volumes of text. You input documents, emails, or other text, and it highlights or redacts details like names, addresses, or social security numbers. It's designed for anyone managing or processing text data that might contain private user information.
No commits in the last 6 months.
Use this if you need to ensure compliance with data privacy regulations by automatically detecting Personally Identifiable Information (PII) in text.
Not ideal if you need to detect sensitive data types other than PII, such as financial figures, medical codes, or intellectual property.
Stars
16
Forks
8
Language
Jupyter Notebook
License
GPL-3.0
Category
Last pushed
Dec 08, 2022
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/nlp/edwardcooper/data-sentry"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
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