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Aspect-Based Sentiment Analysis Using Attribute Extraction of Hospital Reviews
Ankita Bansal1, Niranjan Kumar1
1Department of Information and Technology, Netaji Subhas University of Technology, Dwarka, New Delhi, India.
Summary
This study uses sentiment analysis on over 30,000 online hospital reviews to help patients find suitable care. It provides descriptive ratings and aspect-based comparisons for informed hospital selection.
Area of Science:
- Natural Language Processing
- Public Health Informatics
- Sentiment Analysis
Background:
- The COVID-19 pandemic highlighted challenges in accessing reliable hospital information.
- Online reviews are a common but unstructured source of patient feedback.
- Patients struggle to find accurate, specific hospital details for treatment decisions.
Purpose of the Study:
- To leverage sentiment analysis for understanding online hospital reviews.
- To provide patients with comprehensive and descriptive hospital ratings.
- To enable informed hospital selection based on patient preferences.
Main Methods:
- Collected over 30,000 reviews from more than 500 hospitals.
- Employed sentiment analysis techniques to process unstructured review data.
- Conducted aspect-based analysis on "Doctors' services", "Staff's services", "Hospital facilities", and "Affordability".
Main Results:
- Developed a system for comprehensive hospital ratings based on online reviews.
- Generated aspect-based comparisons of hospitals.
- Created a database of aspect-based hospital ratings.
Conclusions:
- Sentiment analysis of online reviews can provide valuable insights for patients.
- Aspect-based analysis allows for detailed hospital comparisons.
- The developed rating system aids patients in selecting hospitals aligned with their needs.
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