{"status":"public","year":"2018","quality_controlled":"1","author":[{"first_name":"Frederik Simon","last_name":"Bäumer","id":"38837","full_name":"Bäumer, Frederik Simon"},{"first_name":"Michaela","orcid":"0000-0002-8180-5606","full_name":"Geierhos, Michaela","last_name":"Geierhos","id":"42496"}],"department":[{"_id":"36"},{"_id":"1"},{"_id":"579"}],"title":"Text Broom: A ML-based Tool to Detect and Highlight Privacy Breaches in Physician Reviews: An Insight into Our Current Work","_id":"4341","citation":{"apa":"Bäumer, F. S., &#38; 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 <i>European Conference on Data Analysis 2018: Multidisciplinary Facets of Data Science - Book of Abstracts</i>. Paderborn, Germany.","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.” <i>European Conference on Data Analysis 2018: Multidisciplinary Facets of Data Science - Book of Abstracts</i>, 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: <i>European Conference on Data Analysis 2018: Multidisciplinary Facets of Data Science - Book of Abstracts</i>. ; 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 <i>European Conference on Data Analysis 2018: Multidisciplinary Facets of Data Science - Book of Abstracts</i>, Paderborn, Germany, 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 <i>European Conference on Data Analysis 2018: Multidisciplinary Facets of Data Science - Book of Abstracts</i>, 2018.","short":"F.S. Bäumer, M. Geierhos, in: European Conference on Data Analysis 2018: Multidisciplinary Facets of Data Science - Book of Abstracts, 2018.","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} }"},"user_id":"42496","date_created":"2018-09-01T09:12:22Z","language":[{"iso":"eng"}],"main_file_link":[{"url":"http://groups.uni-paderborn.de/eim-i-fg-huellermeier/ecda2018/downloads/ECDA2018-BoA.pdf"}],"publication_status":"published","publication":"European Conference on Data Analysis 2018: Multidisciplinary Facets of Data Science - Book of Abstracts","conference":{"location":"Paderborn, Germany","start_date":"2018-07-04","end_date":"2018-07-06","name":"European Conference on Data Analysis (ECDA 2018)"},"type":"conference_abstract","date_updated":"2022-01-06T07:00:57Z"}