“Enhancing Early Infectious Disease Outbreak Detection in Sub-Saharan Africa through Automated Social Media Analysis”
Type
Thesis
Authors
Category
e-format
[ Browse Items ]
Publication Year
2024
Publisher
Pages
35
Subject
COMPUTER SCIENCE
Abstract
This research proposes a machine-learning framework for detecting infectious disease outbreaks in Sub-Saharan Africa, leveraging social media sentiments. The study aims to improve disease surveillance due to the spread of misinformation and the vulnerability of the region to emerging diseases.
Description
FInal Year Capstone
Number of Copies
1