D17.1 - Report on text anonymization tools

It is becoming increasingly necessary to share various forms of textual data among agencies, organisations, governments, and other entities. It is of great importance toprotect the private information in this data. Publishing individual private information (often referred to as personally identifiable information (PII) in the field of data privacy) may have serious effects on the individuals. Privacy regulations will never be 100% effective due to breaches and other unforeseen events, such as accidental release or compromised data infrastructure. The development of data technologies aimed at preserving privacy is essential to ensure compliance with regulations, especially since manual privacy protection on data is an almost impossible task due to the ever-growing amount of data containing personal identifiable information.

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-06-30
DOI
https://doi.org/10.5281/zenodo.15533161
Primary Topic
Privacy-Preserving Technologies in Data
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

D17.1 - Report on text anonymization tools

Zenodo (CERN European Organization for Nuclear Research)
Privacy-Preserving Technologies in Data
article

D17.1 - Report on text anonymization tools

article en

Abstract

It is becoming increasingly necessary to share various forms of textual data among agencies, organisations, governments, and other entities. It is of great importance toprotect the private information in this data. Publishing individual private information (often referred to as personally identifiable information (PII) in the field of data privacy) may have serious effects on the individuals. Privacy regulations will never be 100% effective due to breaches and other unforeseen events, such as accidental release or compromised data infrastructure. The development of data technologies aimed at preserving privacy is essential to ensure compliance with regulations, especially since manual privacy protection on data is an almost impossible task due to the ever-growing amount of data containing personal identifiable information.

Zenodo (CERN European Organization for Nuclear Research)
Universidad de León (MX)
Industry, innovation and infrastructure
Openalex Percentile: Top 77%
Privacy-Preserving Technologies in Data
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.