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

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.
LibreCat: /record/46205
DOI: 10.1007/978-3-031-37890-4_3

Towards comparable ratings: Exploring bias in German physician reviews
J. Kersting, F. Maoro, M. Geierhos, Data &; Knowledge Engineering 148 (2023).
LibreCat: /record/53801
DOI: 10.1016/j.datak.2023.102235

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.
LibreCat: /record/32179
DOI: 10.1007/978-3-031-06417-3_56

PATTERNS 2022 The Fourteenth International Conferences on Pervasive Patterns and Applications
J. Kersting, ed., PATTERNS 2022 The Fourteenth International Conferences on Pervasive Patterns and Applications, IARIA, Barcelona, Spain, 2022.
LibreCat: /record/53803

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.
LibreCat: /record/17905
DOI: 10.1007/978-3-030-63787-3_6

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.
LibreCat: /record/22051

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.
LibreCat: /record/22052

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.
LibreCat: /record/17347
DOI: https://doi.org/10.1007/978-3-030-59506-7_30

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.
LibreCat: /record/18686