Unlocking Blended Emotions and Underlying Drivers: A Deep Dive into COVID-19 Vaccination Insights on Twitter Across Digital and Physical Realms in New York, Using ChatGPT
The conclusions drawn from commonly used topic modeling and sentiment analysis of COVID-19 vaccination discussions on social media often hinge on researchers’ interpretation. These methods inadequately capture the nuanced real-world human emotions and struggle with identifying sarcasm and handling m...
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| Main Authors: | Li Yin, Mo Han, Xuanyi Nie |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2024-11-01
|
| Series: | Urban Science |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2413-8851/8/4/222 |
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