Towards a Multi-Stage Approach to Detect Privacy Breaches in Physician Reviews
F. Bäumer, J. Kersting, M. Orlikowski, M. Geierhos, in: Proceedings of the Posters and Demos Track of the 14th International Conference on Semantic Systems Co-Located with the 14th International Conference on Semantic Systems (SEMANTiCS 2018), 2018.
Download
Es wurde kein Volltext hochgeladen. Nur Publikationsnachweis!
Konferenzbeitrag
| Veröffentlicht
| Englisch
Autor*in
Bäumer, Frederik
;
Kersting, Joschka;
Orlikowski, Matthias;
Geierhos, Michaela
;
Kersting, Joschka;
Orlikowski, Matthias;
Geierhos, MichaelaEinrichtung
Abstract
Physician Review Websites allow users to evaluate their experiences with health services. As these evaluations are regularly contextualized with facts from usersâ private lives, they often accidentally disclose personal information on the Web. This poses a serious threat to usersâ privacy. In this paper, we report on early work in progress on âText Broomâ, a tool to detect privacy breaches in user-generated texts. For this purpose, we conceptualize a pipeline which combines methods of Natural Language Processing such as Named Entity Recognition, linguistic patterns and domain-specific Machine Learning approaches which have the potential to recognize privacy violations with wide coverage. A prototypical web application is openly accesible.
Erscheinungsjahr
Titel des Konferenzbandes
Proceedings of the Posters and Demos Track of the 14th International Conference on Semantic Systems co-located with the 14th International Conference on Semantic Systems (SEMANTiCS 2018)
Band
2198
ISSN
FH-PUB-ID
Zitieren
Bäumer, Frederik ; Kersting, Joschka ; Orlikowski, Matthias ; Geierhos, Michaela: Towards a Multi-Stage Approach to Detect Privacy Breaches in Physician Reviews. In: Proceedings of the Posters and Demos Track of the 14th International Conference on Semantic Systems co-located with the 14th International Conference on Semantic Systems (SEMANTiCS 2018). Bd. 2198, 2018
Bäumer F, Kersting J, Orlikowski M, Geierhos M. Towards a Multi-Stage Approach to Detect Privacy Breaches in Physician Reviews. In: Proceedings of the Posters and Demos Track of the 14th International Conference on Semantic Systems Co-Located with the 14th International Conference on Semantic Systems (SEMANTiCS 2018). Vol 2198. ; 2018.
Bäumer, F., Kersting, J., Orlikowski, M., & Geierhos, M. (2018). Towards a Multi-Stage Approach to Detect Privacy Breaches in Physician Reviews. In Proceedings of the Posters and Demos Track of the 14th International Conference on Semantic Systems co-located with the 14th International Conference on Semantic Systems (SEMANTiCS 2018) (Vol. 2198).
@inproceedings{Bäumer_Kersting_Orlikowski_Geierhos_2018, title={Towards a Multi-Stage Approach to Detect Privacy Breaches in Physician Reviews}, volume={2198}, booktitle={Proceedings of the Posters and Demos Track of the 14th International Conference on Semantic Systems co-located with the 14th International Conference on Semantic Systems (SEMANTiCS 2018)}, author={Bäumer, Frederik and Kersting, Joschka and Orlikowski, Matthias and Geierhos, Michaela}, year={2018} }
Bäumer, Frederik, Joschka Kersting, Matthias Orlikowski, and Michaela Geierhos. “Towards a Multi-Stage Approach to Detect Privacy Breaches in Physician Reviews.” In Proceedings of the Posters and Demos Track of the 14th International Conference on Semantic Systems Co-Located with the 14th International Conference on Semantic Systems (SEMANTiCS 2018), Vol. 2198, 2018.
F. Bäumer, J. Kersting, M. Orlikowski, and M. Geierhos, “Towards a Multi-Stage Approach to Detect Privacy Breaches in Physician Reviews,” in Proceedings of the Posters and Demos Track of the 14th International Conference on Semantic Systems co-located with the 14th International Conference on Semantic Systems (SEMANTiCS 2018), 2018, vol. 2198.
Bäumer, Frederik, et al. “Towards a Multi-Stage Approach to Detect Privacy Breaches in Physician Reviews.” Proceedings of the Posters and Demos Track of the 14th International Conference on Semantic Systems Co-Located with the 14th International Conference on Semantic Systems (SEMANTiCS 2018), vol. 2198, 2018.
Google Scholar