book chapter published Joschka Kersting author 58701 Michaela Geierhos author 424960000-0002-8180-5606 AlfredoCuzzocrea editor OlegGusikhin editor SlimaneHammoudi editor ChristophQuix editor 579 department SFB 901: SFB 901: On-The-Fly Computing - Individualisierte IT-Dienstleistungen in dynamischen Märkten project SFB 901 - B1: SFB 901 - Parametrisierte Servicespezifikation (Subproject B1) project SFB 901 - B: SFB 901 - Project Area B project We present a concept for quantifying evaluative phrases to later compare rating texts numerically instead of just relying on stars or grades. We achievethis by combining deep learning models in an aspect-based sentiment analysis pipeline along with sentiment weighting, polarity, and correlation analyses that combine deep learning results with metadata. The results provide new insights for the medical field. Our application domain, physician reviews, shows that there are millions of review texts on the Internet that cannot yet be comprehensively analyzed because previous studies have focused on explicit aspects from other domains (e.g., products). We identify, extract, and classify implicit and explicit aspect phrases equally from German-language review texts. To do so, we annotated aspect phrases representing reviews on numerous aspects of a physician, medical practice, or practice staff. We apply the best performing transformer model, XLM-RoBERTa, to a large physician review dataset and correlate the results with existing metadata. As a result, we can show different correlations between the sentiment polarity of certain aspect classes (e.g., friendliness, practice equipment) and physicians’ professions (e.g., surgeon, ophthalmologist). As a result, we have individual numerical scores that contain a variety of information based on deep learning algorithms that extract textual (evaluative) information and metadata from the Web. https://ris.uni-paderborn.de/download/46205/46207/Kersting and Geierhos (2023), Kersting2023b.pdf application/pdf Springer Nature Switzerland2023 eng 1865-0929 1865-0937 9783031378898 978303137890410.1007/978-3-031-37890-4_3 186045-65 Kersting J, Geierhos M. Towards Comparable Ratings: Quantifying Evaluative Phrases in Physician Reviews. In: Cuzzocrea A, Gusikhin O, Hammoudi S, Quix C, eds. <i>Data Management Technologies and Applications</i>. Vol 1860. Communications in Computer and Information Science. Springer Nature Switzerland; 2023:45-65. doi:<a href="https://doi.org/10.1007/978-3-031-37890-4_3">10.1007/978-3-031-37890-4_3</a> Kersting, J., &#38; Geierhos, M. (2023). Towards Comparable Ratings: Quantifying Evaluative Phrases in Physician Reviews. In A. Cuzzocrea, O. Gusikhin, S. Hammoudi, &#38; C. Quix (Eds.), <i>Data Management Technologies and Applications</i> (Vol. 1860, pp. 45–65). Springer Nature Switzerland. <a href="https://doi.org/10.1007/978-3-031-37890-4_3">https://doi.org/10.1007/978-3-031-37890-4_3</a> J. Kersting and M. Geierhos, “Towards Comparable Ratings: Quantifying Evaluative Phrases in Physician Reviews,” in <i>Data Management Technologies and Applications</i>, vol. 1860, A. Cuzzocrea, O. Gusikhin, S. Hammoudi, and C. Quix, Eds. Cham: Springer Nature Switzerland, 2023, pp. 45–65. Kersting, Joschka, and Michaela Geierhos. “Towards Comparable Ratings: Quantifying Evaluative Phrases in Physician Reviews.” In <i>Data Management Technologies and Applications</i>, edited by Alfredo Cuzzocrea, Oleg Gusikhin, Slimane Hammoudi, and Christoph Quix, 1860:45–65. Communications in Computer and Information Science. Cham: Springer Nature Switzerland, 2023. <a href="https://doi.org/10.1007/978-3-031-37890-4_3">https://doi.org/10.1007/978-3-031-37890-4_3</a>. @inbook{Kersting_Geierhos_2023, place={Cham}, series={Communications in Computer and Information Science}, title={Towards Comparable Ratings: Quantifying Evaluative Phrases in Physician Reviews}, volume={1860}, DOI={<a href="https://doi.org/10.1007/978-3-031-37890-4_3">10.1007/978-3-031-37890-4_3</a>}, booktitle={Data Management Technologies and Applications}, publisher={Springer Nature Switzerland}, author={Kersting, Joschka and Geierhos, Michaela}, editor={Cuzzocrea, Alfredo and Gusikhin, Oleg and Hammoudi, Slimane and Quix, Christoph}, year={2023}, pages={45–65}, collection={Communications in Computer and Information Science} } Kersting, Joschka, and Michaela Geierhos. “Towards Comparable Ratings: Quantifying Evaluative Phrases in Physician Reviews.” <i>Data Management Technologies and Applications</i>, edited by Alfredo Cuzzocrea et al., vol. 1860, Springer Nature Switzerland, 2023, pp. 45–65, doi:<a href="https://doi.org/10.1007/978-3-031-37890-4_3">10.1007/978-3-031-37890-4_3</a>. 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. 462052023-07-28T15:03:14Z2023-07-28T15:11:10Z