Publication details

Anonymizér osobních dat v online konverzacích

Title in English Personal Data Anonymization Software for Electronic Communication

SOTOLÁŘ Ondřej PLHÁK Jaromír

Year of publication 2020
MU Faculty or unit

Faculty of Informatics

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.

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