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91 Publications
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2023 | Dissertation | LibreCat-ID: 44323
Kersting J. Identifizierung quantifizierbarer Bewertungsinhalte und -kategorien mittels Text Mining. Universität der Bundeswehr München ; 2023.
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2023 | Book Chapter | LibreCat-ID: 46205
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
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2023 | Journal Article | LibreCat-ID: 53801 | 
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
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2022 | Book Chapter | LibreCat-ID: 32179
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
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2022 | Conference (Editor) | LibreCat-ID: 53803 |
Kersting J, ed. PATTERNS 2022 The Fourteenth International Conferences on Pervasive Patterns and Applications. IARIA; 2022.
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2021 | Book Chapter | LibreCat-ID: 17905
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
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2021 | Conference Paper | LibreCat-ID: 22051
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.
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2021 | Book Chapter | LibreCat-ID: 22052
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.
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2020 | Book Chapter | LibreCat-ID: 17347
Bäumer FS, Kersting J, Buff B, Geierhos M. Tag Me If You Can: Insights into the Challenges of Supporting Unrestricted P2P 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
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2020 | Conference Paper | LibreCat-ID: 18686
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.
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2020 | Conference Paper | LibreCat-ID: 15580
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.
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2020 | Conference Paper | LibreCat-ID: 15582
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.
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2020 | Conference Paper | LibreCat-ID: 15635
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.
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2020 | Conference Paper | LibreCat-ID: 15256
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.
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2019 | Encyclopedia Article | LibreCat-ID: 8312 |
Bäumer FS, Geierhos M. Requirements Engineering in OTF-Computing. In: Encyclopedia.Pub. Basel, Switzerland: MDPI; 2019.
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2019 | Journal Article | LibreCat-ID: 8424 |
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
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2019 | Conference Abstract | LibreCat-ID: 8529 |
Seemann N, Merten M-L. UPB-Annotate: Ein maßgeschneidertes Toolkit für 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
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2019 | Conference Abstract | LibreCat-ID: 8532 |
Bäumer FS, Buff B, Geierhos M. Potentielle Privatsphäreverletzungen 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
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2019 | Conference Paper | LibreCat-ID: 9613
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, Méndez Muñoz V, Chang V, eds. Proceedings of the 4th International Conference on Internet of Things, Big Data and Security. Setúbal, Portugal: SCITEPRESS; 2019:147-155.
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2019 | Conference Paper | LibreCat-ID: 12946
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
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