Listening to Patients: Advanced Arabic Aspect-Based Sentiment Analysis Using Transformer Models Towards Better Healthcare
Patient satisfaction is a key measure of the quality of healthcare, directly impacting the success and competitiveness of healthcare providers in an increasingly demanding market. Traditional feedback collection methods often fall short of capturing the full spectrum of patient experiences, leading...
Saved in:
| Main Authors: | Seba AlNasser, Sarab AlMuhaideb |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2024-11-01
|
| Series: | Big Data and Cognitive Computing |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2504-2289/8/11/156 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
On the robustness of arabic aspect-based sentiment analysis: A comprehensive exploration of transformer-based models
by: Alanod AlMasaud, et al.
Published: (2024-12-01) -
A Survey of Deep Learning Techniques for Arabic Aspect-Based Sentiment Analysis
by: Dalal Alqusair, et al.
Published: (2025-01-01) -
Enhanced UrduAspectNet: Leveraging Biaffine Attention for superior Aspect-Based Sentiment Analysis
by: Kamran Aziz, et al.
Published: (2024-11-01) -
Aspect based sentiment analysis datasets for Bangla textMendeley Data
by: Mahmudul Hasan, et al.
Published: (2024-12-01) -
Few-Shot Methods for Aspect-Level Sentiment Analysis
by: Aleksander Wawer
Published: (2024-10-01)