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

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.
LibreCat: /record/15580

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.
LibreCat: /record/15582

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.
LibreCat: /record/15635

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.
LibreCat: /record/15256

Requirements Engineering in OTF-Computing
F.S. Bäumer, M. Geierhos, in: Encyclopedia.Pub, MDPI, Basel, Switzerland, 2019.
LibreCat: /record/8312

Natural Language Processing in OTF Computing: Challenges and the Need for Interactive Approaches
F.S. Bäumer, J. Kersting, M. Geierhos, Computers 8 (2019).
LibreCat: /record/8424
DOI: 10.3390/computers8010022

UPB-Annotate: Ein maßgeschneidertes Toolkit fur historische Texte
N. Seemann, M.-L. Merten, in: P. Sahle (Ed.), DHd 2019 Digital Humanities: multimedial &; multimodal. Konferenzabstracts, Zenodo, Frankfurt am Main, Germany, 2019, pp. 352–353.
LibreCat: /record/8529
DOI: 10.5281/ZENODO.2596094

Potentielle Privatsphareverletzungen aufdecken und automatisiert sichtbar machen
F.S. Bäumer, B. Buff, M. Geierhos, in: P. Sahle (Ed.), DHd 2019 Digital Humanities: multimedial &; multimodal. Konferenzabstracts, Zenodo, Frankfurt am Main, Germany, 2019, pp. 192–193.
LibreCat: /record/8532
DOI: 10.5281/zenodo.2596095

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.
LibreCat: /record/9613

How to Boost Customer Relationship Management via Web Mining Benefiting from the Glass Customer’s Openness
F.S. Bäumer, B. Buff, in: Proceedings of the 8th International Conference on Data Science, Technology and Applications, 2019.
LibreCat: /record/12946
DOI: 10.5220/0007828301290136