J. Kersting, Identifizierung quantifizierbarer Bewertungsinhalte und -kategorien mittels Text Mining. Neubiberg: Universität der Bundeswehr München , 2023.
LibreCat: /record/44323

F. S. Bäumer, W.-F. Chen, M. Geierhos, J. Kersting, and H. Wachsmuth, “Dialogue-based Requirement Compensation and Style-adjusted Data-to-text Generation,” in On-The-Fly Computing -- Individualized IT-services in dynamic markets, vol. 412, C.-J. Haake, F. Meyer auf der Heide, M. Platzner, H. Wachsmuth, and H. Wehrheim, Eds. Paderborn: Heinz Nixdorf Institut, Universität Paderborn, 2023, pp. 65–84.
LibreCat: /record/45882
DOI: 10.5281/zenodo.8068456

J. Kersting and M. Geierhos, “Towards Comparable Ratings: Quantifying Evaluative Phrases in Physician Reviews,” in Data Management Technologies and Applications, vol. 1860, A. Cuzzocrea, O. Gusikhin, S. Hammoudi, and C. Quix, Eds. Cham: Springer Nature Switzerland, 2023, pp. 45–65.
LibreCat: /record/46205
DOI: 10.1007/978-3-031-37890-4_3

J. Kersting, F. Maoro, and M. Geierhos, “Towards comparable ratings: Exploring bias in German physician reviews,”10.1016/j.datak.2023.102235__Data &; Knowledge Engineering, vol. 148, Art. no. 102235, 2023, doi:10.1016/j.datak.2023.102235 .
LibreCat: /record/53801
DOI: 10.1016/j.datak.2023.102235

J. Kersting, M. Ahmed, and M. Geierhos, “Chatbot-Enhanced Requirements Resolution for Automated Service Compositions,” in HCI International 2022 Posters, vol. 1580, C. Stephanidis, M. Antona, and S. Ntoa, Eds. Cham, Switzerland: Springer International Publishing, 2022, pp. 419--426.
LibreCat: /record/32179
DOI: 10.1007/978-3-031-06417-3_56

J. Kersting and F. S. Bäumer, “Implicit Statements in Healthcare Reviews: A Challenge for Sentiment Analysis,” in Proceedings of the Fourteenth International Conference on Pervasive Patterns and Applications (PATTERNS 2022): Special Track AI-DRSWA: Maturing Artificial Intelligence - Data Science for Real-World Applications, Barcelona, Spain, 2022, pp. 5–9.
LibreCat: /record/31054

F. S. Bäumer, J. Kersting, S. Denisov, and M. Geierhos, “IN OTHER WORDS: A NAIVE APPROACH TO TEXT SPINNING,” in PROCEEDINGS OF THE INTERNATIONAL CONFERENCES ON WWW/INTERNET 2021 AND APPLIED COMPUTING 2021, Lisbon, Portugal, 2021, pp. 221--225.
LibreCat: /record/26049

J. Kersting and M. Geierhos, “Towards Aspect Extraction and Classification for Opinion Mining with Deep Sequence Networks,” in Natural Language Processing in Artificial Intelligence -- NLPinAI 2020, vol. 939, R. Loukanova, Ed. Cham: Springer, 2021, pp. 163--189.
LibreCat: /record/17905
DOI: 10.1007/978-3-030-63787-3_6

J. Kersting and M. Geierhos, “Well-being in Plastic Surgery: Deep Learning Reveals Patients’ Evaluations,” in Proceedings of the 10th International Conference on Data Science, Technology and Applications (DATA 2021), Online, 2021, pp. 275--284.
LibreCat: /record/22051

J. Kersting and M. Geierhos, “Human Language Comprehension in Aspect Phrase Extraction with Importance Weighting,” in Natural Language Processing and Information Systems, vol. 12801, E. Kapetanios, H. Horacek, E. Métais, and F. Meziane, Eds. Saarbrücken, Germany: Springer, 2021, pp. 231--242.
LibreCat: /record/22052

F. S. Bäumer, J. Kersting, B. Buff, and M. Geierhos, “Tag Me If You Can: Insights into the Challenges of Supporting Unrestricted P News Tagging,” in Information and Software Technologies, vol. 1283, L. Audrius, B. Rita, G. Daina, and S. Vilma, Eds. Springer, 2020, pp. 368--382.
LibreCat: /record/17347
DOI: https://doi.org/10.1007/978-3-030-59506-7_30

J. Kersting and F. S. Bäumer, “SEMANTIC TAGGING OF REQUIREMENT DESCRIPTIONS: A TRANSFORMER-BASED APPROACH,” in PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON APPLIED COMPUTING 2020, Lisbon, Portugal, 2020, pp. 119--123.
LibreCat: /record/18686

J. Kersting and M. Geierhos, “Aspect Phrase Extraction in Sentiment Analysis with Deep Learning,” in Proceedings of the 12th International Conference on Agents and Artificial Intelligence (ICAART 2020) --  Special Session on Natural Language Processing in Artificial Intelligence (NLPinAI 2020), Valetta, Malta, 2020, pp. 391--400.
LibreCat: /record/15580

B. Buff, J. Kersting, and M. Geierhos, “Detection of Privacy Disclosure in the Medical Domain: A Survey,” in Proceedings of the 9th International Conference on Pattern Recognition Applications and Methods (ICPRAM 2020), Valetta, Malta, 2020, pp. 630--637.
LibreCat: /record/15582

J. Kersting and M. Geierhos, “Neural Learning for Aspect Phrase Extraction and Classification in Sentiment Analysis,” in Proceedings of the 33rd International Florida Artificial Intelligence Research Symposium (FLAIRS) Conference, North Miami Beach, FL, USA, 2020, pp. 282--285.
LibreCat: /record/15635

J. Kersting and M. Geierhos, “What Reviews in Local Online Labour Markets Reveal about the Performance of Multi-Service Providers,” in Proceedings of the 9th International Conference on Pattern Recognition Applications and Methods, Valetta, Malta, 2020, pp. 263--272.
LibreCat: /record/15256

F. S. Bäumer, J. Kersting, and M. Geierhos, “Natural Language Processing in OTF Computing: Challenges and the Need for Interactive Approaches,” Computers, vol. 8, no. 1, 2019.
LibreCat: /record/8424
DOI: 10.3390/computers8010022

J. Kersting, F. S. Bäumer, and M. Geierhos, “In Reviews We Trust: But Should We? Experiences with Physician Review Websites,” in Proceedings of the 4th International Conference on Internet of Things, Big Data and Security, Heraklion, Greece, 2019, pp. 147–155.
LibreCat: /record/9613

F. S. Bäumer, J. Kersting, V. Kurselis, and M. Geierhos, “Rate Your Physician: Findings from a Lithuanian Physician Rating Website,” in Communications in Computer and Information Science, vol. 920, R. Damasevidius and G. Vasiljevien, Eds. Cham, Switzerland: Springer, 2018, pp. 43–58.
LibreCat: /record/4338
DOI: 10.1007/978-3-319-99972-2_4

F. S. 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), Vienna, Austria, 2018, vol. 2198.
LibreCat: /record/4349

J. Kersting, A New Perspective on Customer Reviews - What Reviews in Local Online Labour Markets Reveal about the Performance of Multi-Service Providers. Universität Paderborn, 2018.
LibreCat: /record/2488

J. Kersting and M. Geierhos, “Using Sentiment Analysis on Local Up-to-the-Minute News: An Integrated Approach,” in  Proceedings of the 23rd International Conference on Information and Software Technologies, Communications in Computer and Information Science, 2017, vol. 756, pp. 528–538.
LibreCat: /record/25099

J. Kersting, M. Geierhos, H. Jung, and T. Kim, “Internet of Things Architecture for Handling Stream Air Pollution Data,” in Proceedings of the 2nd International Conference on Internet of Things, Big Data and Security, Porto, Portugal, 2017, pp. 117–124.
LibreCat: /record/1156
DOI: 10.5220/0006354801170124

J. Kersting and M. Geierhos, “Using Sentiment Analysis on Local Up-to-the-Minute News: An Integrated Approach,” in Information and Software Technologies: 23rd International Conference, ICIST 2017, Druskininkai, Lithuania, October 12–14, 2017, Proceedings, vol. 756, R. Damasevidius and V. Mikasyt, Eds. Cham, Switzerland: Springer, 2017, pp. 528–538.
LibreCat: /record/1159
DOI: 10.1007/978-3-319-67642-5

F. S. Bäumer, N. Grote, J. Kersting, and M. Geierhos, “Privacy Matters: Detecting Nocuous Patient Data Exposure in Online Physician Reviews,” in Information and Software Technologies: 23rd International Conference, ICIST 2017, Druskininkai, Lithuania, October 12–14, 2017, Proceedings, vol. 756, R. Damasevidius and V. Mikasyt, Eds. Cham, Switzerland: Springer, 2017, pp. 77–89.
LibreCat: /record/1161
DOI: 10.1007/978-3-319-67642-5_7