Systematizing the State of Knowledge in Detecting Privacy Sensitive Information in Unstructured Texts using Machine Learning
Author:
Affiliation:
1. Goethe University Frankfurt,Chair of Mobile Business & Multilateral Security,Frankfurt am Main,Germany
2. KDDI Research, Inc.,Usable Trust Group,Saitama,Japan
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10320127/10319983/10320187.pdf?arnumber=10320187
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1. Designing Sensitive Personal Information Detection and Classification Model for Amharic Text
2. Exsense: Extract sensitive information from unstructured data
3. Automatic detection of protected health information from clinic narratives
4. Auto-´ matic anonymization of textual documents: detecting sensitive information via word embeddings;hassan;Trustcom/BigDataSE/ISPA,2019
5. The effects of different personal data categories on information privacy concern and disclosure
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