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

Kersting J, Geierhos M. Towards Comparable Ratings: Quantifying Evaluative Phrases in Physician Reviews. In: Cuzzocrea A, Gusikhin O, Hammoudi S, Quix C, eds. Data Management Technologies and Applications. Vol 1860. Communications in Computer and Information Science. Springer Nature Switzerland; 2023:45-65. doi:10.1007/978-3-031-37890-4_3
LibreCat: /record/46205
DOI: 10.1007/978-3-031-37890-4_3

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

Kersting J, Ahmed M, Geierhos M. Chatbot-Enhanced Requirements Resolution for Automated Service Compositions. In: Stephanidis C, Antona M, Ntoa S, eds. HCI International 2022 Posters. Vol 1580. Communications in Computer and Information Science (CCIS). Springer International Publishing; 2022:419--426. doi:10.1007/978-3-031-06417-3_56
LibreCat: /record/32179
DOI: 10.1007/978-3-031-06417-3_56

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

Kersting J, Geierhos M. Towards Aspect Extraction and Classification for Opinion Mining with Deep Sequence Networks. In: Loukanova R, ed. Natural Language Processing in Artificial Intelligence -- NLPinAI 2020. Vol 939. Studies in Computational Intelligence (SCI). Cham: Springer; 2021:163--189. doi:10.1007/978-3-030-63787-3_6
LibreCat: /record/17905
DOI: 10.1007/978-3-030-63787-3_6

Kersting J, Geierhos M. 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). SCITEPRESS; 2021:275--284.
LibreCat: /record/22051

Kersting J, Geierhos M. Human Language Comprehension in Aspect Phrase Extraction with Importance Weighting. In: Kapetanios E, Horacek H, Métais E, Meziane F, eds. Natural Language Processing and Information Systems. Vol 12801. Lecture Notes in Computer Science. Springer; 2021:231--242.
LibreCat: /record/22052

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

Kersting J, Bäumer FS. SEMANTIC TAGGING OF REQUIREMENT DESCRIPTIONS: A TRANSFORMER-BASED APPROACH. In: PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON APPLIED COMPUTING 2020. IADIS; 2020:119--123.
LibreCat: /record/18686

Kersting J, Geierhos M. 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). Setúbal, Portugal: SCITEPRESS; 2020:391--400.
LibreCat: /record/15580

Buff B, Kersting J, Geierhos M. 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). Setúbal, Portugal: SCITEPRESS; 2020:630--637.
LibreCat: /record/15582

Kersting J, Geierhos M. 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: AAAI; 2020:282--285.
LibreCat: /record/15635

Kersting J, Geierhos M. 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. Setúbal, Portugal: SCITEPRESS; 2020:263--272.
LibreCat: /record/15256

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

Bäumer FS, Kersting J, Geierhos M. Natural Language Processing in OTF Computing: Challenges and the Need for Interactive Approaches. Computers. 2019;8(1). doi:10.3390/computers8010022
LibreCat: /record/8424
DOI: 10.3390/computers8010022

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

Bäumer FS, Buff B, Geierhos M. Potentielle Privatsphareverletzungen aufdecken und automatisiert sichtbar machen. In: Sahle P, ed. DHd 2019 Digital Humanities: multimedial &; multimodal. Konferenzabstracts. Frankfurt am Main, Germany: Zenodo; 2019:192-193. doi:10.5281/zenodo.2596095
LibreCat: /record/8532
DOI: 10.5281/zenodo.2596095

Kersting J, Bäumer FS, Geierhos M. In Reviews We Trust: But Should We? Experiences with Physician Review Websites. In: Ramachandran M, Walters R, Wills G, Mendez Munoz V, Chang V, eds. Proceedings of the 4th International Conference on Internet of Things, Big Data and Security. Setúbal, Portugal: SCITEPRESS; 2019:147-155.
LibreCat: /record/9613

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