Identifizierung quantifizierbarer Bewertungsinhalte und -kategorien mittels Text Mining
J. Kersting, Identifizierung quantifizierbarer Bewertungsinhalte und -kategorien mittels Text Mining, Universität der Bundeswehr München , Neubiberg, 2023.

Dialogue-based Requirement Compensation and Style-adjusted Data-to-text Generation
F.S. Bäumer, W.-F. Chen, M. Geierhos, J. Kersting, H. Wachsmuth, in: C.-J. Haake, F. Meyer auf der Heide, M. Platzner, H. Wachsmuth, H. Wehrheim (Eds.), On-The-Fly Computing -- Individualized IT-Services in Dynamic Markets, Heinz Nixdorf Institut, Universität Paderborn, Paderborn, 2023, pp. 65–84.

Towards Comparable Ratings: Quantifying Evaluative Phrases in Physician Reviews
J. Kersting, M. Geierhos, in: A. Cuzzocrea, O. Gusikhin, S. Hammoudi, C. Quix (Eds.), Data Management Technologies and Applications, Springer Nature Switzerland, Cham, 2023, pp. 45–65.

Towards comparable ratings: Exploring bias in German physician reviews
J. Kersting, F. Maoro, M. Geierhos, Data &; Knowledge Engineering 148 (2023).

Chatbot-Enhanced Requirements Resolution for Automated Service Compositions
J. Kersting, M. Ahmed, M. Geierhos, in: C. Stephanidis, M. Antona, S. Ntoa (Eds.), HCI International 2022 Posters, Springer International Publishing, Cham, Switzerland, 2022, pp. 419--426.

Implicit Statements in Healthcare Reviews: A Challenge for Sentiment Analysis
J. Kersting, F.S. Bäumer, in: J. Kersting (Ed.), 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, IARIA, Barcelona, Spain, 2022, pp. 5–9.

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

Towards Aspect Extraction and Classification for Opinion Mining with Deep Sequence Networks
J. Kersting, M. Geierhos, in: R. Loukanova (Ed.), Natural Language Processing in Artificial Intelligence -- NLPinAI 2020, Springer, Cham, 2021, pp. 163--189.

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

Human Language Comprehension in Aspect Phrase Extraction with Importance Weighting
J. Kersting, M. Geierhos, in: E. Kapetanios, H. Horacek, E. Métais, F. Meziane (Eds.), Natural Language Processing and Information Systems, Springer, Saarbrücken, Germany, 2021, pp. 231--242.

Tag Me If You Can: Insights into the Challenges of Supporting Unrestricted P News Tagging
F.S. Bäumer, J. Kersting, B. Buff, M. Geierhos, in: L. Audrius, B. Rita, G. Daina, S. Vilma (Eds.), Information and Software Technologies, Springer, 2020, pp. 368--382.

SEMANTIC TAGGING OF REQUIREMENT DESCRIPTIONS: A TRANSFORMER-BASED APPROACH
J. Kersting, F.S. Bäumer, in: PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON APPLIED COMPUTING 2020, IADIS, 2020, pp. 119--123.

Aspect Phrase Extraction in Sentiment Analysis with Deep Learning
J. Kersting, M. Geierhos, 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), SCITEPRESS, Setúbal, Portugal, 2020, pp. 391--400.

Detection of Privacy Disclosure in the Medical Domain: A Survey
B. Buff, J. Kersting, M. Geierhos, in: Proceedings of the 9th International Conference on Pattern Recognition Applications and Methods (ICPRAM 2020), SCITEPRESS, Setúbal, Portugal, 2020, pp. 630--637.

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

What Reviews in Local Online Labour Markets Reveal about the Performance of Multi-Service Providers
J. Kersting, M. Geierhos, in: Proceedings of the 9th International Conference on Pattern Recognition Applications and Methods, SCITEPRESS, Setúbal, Portugal, 2020, pp. 263--272.

Natural Language Processing in OTF Computing: Challenges and the Need for Interactive Approaches
F.S. Bäumer, J. Kersting, M. Geierhos, Computers 8 (2019).

In Reviews We Trust: But Should We? Experiences with Physician Review Websites
J. Kersting, F.S. Bäumer, M. Geierhos, in: M. Ramachandran, R. Walters, G. Wills, V. Mendez Munoz, V. Chang (Eds.), Proceedings of the 4th International Conference on Internet of Things, Big Data and Security, SCITEPRESS, Setúbal, Portugal, 2019, pp. 147–155.

Rate Your Physician: Findings from a Lithuanian Physician Rating Website
F.S. Bäumer, J. Kersting, V. Kurselis, M. Geierhos, in: R. Damasevidius, G. Vasiljevien (Eds.), Communications in Computer and Information Science, Springer, Cham, Switzerland, 2018, pp. 43–58.

Towards a Multi-Stage Approach to Detect Privacy Breaches in Physician Reviews
F.S. Bäumer, J. Kersting, M. Orlikowski, M. Geierhos, in: A. Khalili, M. Koutraki (Eds.), 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), CEUR-WS.org, 2018.