---
_id: '46205'
abstract:
- lang: eng
text: 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.
author:
- first_name: Joschka
full_name: Kersting, Joschka
id: '58701'
last_name: Kersting
- first_name: Michaela
full_name: Geierhos, Michaela
id: '42496'
last_name: Geierhos
orcid: 0000-0002-8180-5606
citation:
ama: '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'
apa: 'Kersting, J., & Geierhos, M. (2023). Towards Comparable Ratings: Quantifying
Evaluative Phrases in Physician Reviews. In A. Cuzzocrea, O. Gusikhin, S. Hammoudi,
& C. Quix (Eds.), Data Management Technologies and Applications (Vol.
1860, pp. 45–65). Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-37890-4_3'
bibtex: '@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={10.1007/978-3-031-37890-4_3},
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}
}'
chicago: 'Kersting, Joschka, and Michaela Geierhos. “Towards Comparable Ratings:
Quantifying Evaluative Phrases in Physician Reviews.” In Data Management Technologies
and Applications, 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. https://doi.org/10.1007/978-3-031-37890-4_3.'
ieee: 'J. Kersting and M. Geierhos, “Towards Comparable Ratings: Quantifying Evaluative
Phrases in Physician Reviews,” in Data Management Technologies and Applications,
vol. 1860, A. Cuzzocrea, O. Gusikhin, S. Hammoudi, and C. Quix, Eds. Cham: Springer
Nature Switzerland, 2023, pp. 45–65.'
mla: 'Kersting, Joschka, and Michaela Geierhos. “Towards Comparable Ratings: Quantifying
Evaluative Phrases in Physician Reviews.” Data Management Technologies and
Applications, edited by Alfredo Cuzzocrea et al., vol. 1860, Springer Nature
Switzerland, 2023, pp. 45–65, doi:10.1007/978-3-031-37890-4_3.'
short: '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.'
date_created: 2023-07-28T15:03:14Z
date_updated: 2023-07-28T15:11:10Z
ddc:
- '004'
department:
- _id: '579'
doi: 10.1007/978-3-031-37890-4_3
editor:
- first_name: Alfredo
full_name: Cuzzocrea, Alfredo
last_name: Cuzzocrea
- first_name: Oleg
full_name: Gusikhin, Oleg
last_name: Gusikhin
- first_name: Slimane
full_name: Hammoudi, Slimane
last_name: Hammoudi
- first_name: Christoph
full_name: Quix, Christoph
last_name: Quix
file:
- access_level: closed
content_type: application/pdf
creator: jkers
date_created: 2023-07-28T15:10:48Z
date_updated: 2023-07-28T15:10:48Z
file_id: '46207'
file_name: Kersting and Geierhos (2023), Kersting2023b.pdf
file_size: 746336
relation: main_file
success: 1
file_date_updated: 2023-07-28T15:10:48Z
has_accepted_license: '1'
intvolume: ' 1860'
language:
- iso: eng
page: 45-65
place: Cham
project:
- _id: '1'
grant_number: '160364472'
name: 'SFB 901: SFB 901: On-The-Fly Computing - Individualisierte IT-Dienstleistungen
in dynamischen Märkten '
- _id: '9'
grant_number: '160364472'
name: 'SFB 901 - B1: SFB 901 - Parametrisierte Servicespezifikation (Subproject
B1)'
- _id: '3'
name: 'SFB 901 - B: SFB 901 - Project Area B'
publication: Data Management Technologies and Applications
publication_identifier:
isbn:
- '9783031378898'
- '9783031378904'
issn:
- 1865-0929
- 1865-0937
publication_status: published
publisher: Springer Nature Switzerland
series_title: Communications in Computer and Information Science
status: public
title: 'Towards Comparable Ratings: Quantifying Evaluative Phrases in Physician Reviews'
type: book_chapter
user_id: '58701'
volume: 1860
year: '2023'
...