Publication details
Anonymizér osobních dat v online konverzacích
| Title in English | Personal Data Anonymization Software for Electronic Communication |
|---|---|
| Authors | |
| Year of publication | 2020 |
| MU Faculty or unit | |
| Description | This software provides a novel rule-based approach to the anonymization of personal data in unstructured text written in Czech language. It uses available machine-learning methods, like named-entity recognition, and improve their performance by grouping multiple entities into larger units based on the theory of tabular data anonymization. This solution, personal data entities are detected, classified, and anonymized. Moreover, the resulting texts keep the original word forms after their replacement with gazetteer values. |