gyr66/privacy_detection
非结构化商业文本信息中隐私信息识别比赛代码仓库
This project helps businesses and individuals protect sensitive information by automatically identifying privacy data within unstructured Chinese text, like customer feedback or internal documents. It takes raw text as input and highlights or extracts personal names, company names, addresses, phone numbers, and other private details. This is useful for anyone managing large volumes of Chinese text who needs to comply with privacy regulations or safeguard confidential information.
No commits in the last 6 months.
Use this if you need to precisely locate and extract various types of private information from Chinese business texts to ensure data privacy and compliance.
Not ideal if your primary need is to identify privacy information in languages other than Chinese or if you are working with highly structured data.
Stars
23
Forks
4
Language
Jupyter Notebook
License
—
Category
Last pushed
Jan 11, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/nlp/gyr66/privacy_detection"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
ssciwr/AMMICO
AI-based Media and Misinformation Content Analysis Tool: Analyze text and images
HendrikStrobelt/detecting-fake-text
Giant Language Model Test Room
ryuryukke/MINT
A unified evaluation suite for membership inference and machine text detection.
AFLucas-UOM/AI-Early-Detection-System-for-Dyslexia-ADHD
Proof-of-concept behavioural analysis system for early detection of dyslexia and ADHD using...
superannotateai/generated_text_detector
SuperAnnotate HTTP service for Generated Text Detection