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.

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.

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.

M. Dollmann and M. Geierhos, “SentiBA: Lexicon-based Sentiment Analysis on German Product Reviews,” in Workshop Proceedings of the 12th Edition of the KONVENS Conference, Hildesheim, Germany, 2014, pp. 185–191.

J. vom Brocke, S. Debortoli, N. Reuter, and O. Müller, “How In-Memory Technology Can Create Business Value: Lessons Learned from Hilti,” Communications of the Association for Information Systems, pp. 151--167, 2014.

R. Hillmann and M. Trier, “Influence and Dissemination Of Sentiments in Social Network Communication Patterns,” in ECIS 2013 Proceedings, 2013.