{"status":"public","date_updated":"2022-01-06T07:00:57Z","date_created":"2018-09-01T09:12:22Z","publication":"European Conference on Data Analysis 2018: Multidisciplinary Facets of Data Science - Book of Abstracts","_id":"4341","citation":{"bibtex":"@inproceedings{Bäumer_Geierhos_2018, title={Text Broom: A ML-based Tool to Detect and Highlight Privacy Breaches in Physician Reviews: An Insight into Our Current Work}, booktitle={European Conference on Data Analysis 2018: Multidisciplinary Facets of Data Science - Book of Abstracts}, author={Bäumer, Frederik Simon and Geierhos, Michaela}, year={2018} }","ama":"Bäumer FS, Geierhos M. Text Broom: A ML-based Tool to Detect and Highlight Privacy Breaches in Physician Reviews: An Insight into Our Current Work. In: European Conference on Data Analysis 2018: Multidisciplinary Facets of Data Science - Book of Abstracts. ; 2018.","short":"F.S. Bäumer, M. Geierhos, in: European Conference on Data Analysis 2018: Multidisciplinary Facets of Data Science - Book of Abstracts, 2018.","mla":"Bäumer, Frederik Simon, and Michaela Geierhos. “Text Broom: A ML-Based Tool to Detect and Highlight Privacy Breaches in Physician Reviews: An Insight into Our Current Work.” European Conference on Data Analysis 2018: Multidisciplinary Facets of Data Science - Book of Abstracts, 2018.","chicago":"Bäumer, Frederik Simon, and Michaela Geierhos. “Text Broom: A ML-Based Tool to Detect and Highlight Privacy Breaches in Physician Reviews: An Insight into Our Current Work.” In European Conference on Data Analysis 2018: Multidisciplinary Facets of Data Science - Book of Abstracts, 2018.","ieee":"F. S. Bäumer and M. Geierhos, “Text Broom: A ML-based Tool to Detect and Highlight Privacy Breaches in Physician Reviews: An Insight into Our Current Work,” in European Conference on Data Analysis 2018: Multidisciplinary Facets of Data Science - Book of Abstracts, Paderborn, Germany, 2018.","apa":"Bäumer, F. S., & Geierhos, M. (2018). Text Broom: A ML-based Tool to Detect and Highlight Privacy Breaches in Physician Reviews: An Insight into Our Current Work. In European Conference on Data Analysis 2018: Multidisciplinary Facets of Data Science - Book of Abstracts. Paderborn, Germany."},"author":[{"id":"38837","first_name":"Frederik Simon","last_name":"Bäumer","full_name":"Bäumer, Frederik Simon"},{"first_name":"Michaela","orcid":"0000-0002-8180-5606","id":"42496","last_name":"Geierhos","full_name":"Geierhos, Michaela"}],"publication_status":"published","user_id":"42496","type":"conference_abstract","department":[{"_id":"36"},{"_id":"1"},{"_id":"579"}],"conference":{"name":"European Conference on Data Analysis (ECDA 2018)","end_date":"2018-07-06","location":"Paderborn, Germany","start_date":"2018-07-04"},"language":[{"iso":"eng"}],"quality_controlled":"1","title":"Text Broom: A ML-based Tool to Detect and Highlight Privacy Breaches in Physician Reviews: An Insight into Our Current Work","year":"2018","main_file_link":[{"url":"http://groups.uni-paderborn.de/eim-i-fg-huellermeier/ecda2018/downloads/ECDA2018-BoA.pdf"}]}