Development of machine learning sentiment analyzer and quality classifier (MLSAQC) and its application in analysing hospital patient satisfaction from Facebook reviews in Malaysia
Background: Patient online reviews (POR) on social media platforms have been proposed as novel strategies for assessing patient satisfaction and monitoring healthcare quality. Social media data, on the other hand, is unstructured and huge in volume. Furthermore, no empirical study has been undertake...
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| Format: | Thesis |
| Language: | English |
| Published: |
2022
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| Online Access: | http://eprints.usm.my/53447/1/Afiq%20Izzudin%20A%20Rahim-OCR..pdf |
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