Sentiment-Based Spatiotemporal Prediction Framework for Pandemic Outbreaks Awareness Using Social Networks Data Classification

Sentiment-Based Spatiotemporal Prediction Framework for Pandemic Outbreaks Awareness Using Social Networks Data Classification

According to the World Health Organization, several factors have affected the accurate reporting of SARS-CoV-2 outbreak status, such as limited data collection resources, cultural and educational diversity, and inconsistent outbreak reporting from different sectors. Driven by this challenging situat...

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Bibliographic Details
Main Authors: Noha Gamal, Samy Ghoniemy, Hossam M. Faheem, Noha A. Seada
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Social network analysis
sentiment analysis
pandemic outbreak
geolocation prediction
data correlation
spatiotemporal analysis
Online Access:https://ieeexplore.ieee.org/document/9832877/

Internet

https://ieeexplore.ieee.org/document/9832877/

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