Application of natural language processing algorithms for extracting information from news articles in event-based surveillance
Victoria Ng, Erin E. Rees, Jingcheng Niu, Abdelhamid Zaghlool, Homeira Ghiasbeglou and Adrian Verster.
CCDR 2020
TL;DR
An overview of how natural language processing powers information extraction in event-based surveillance (EBS) systems: the common applications of extracting information from open-source news articles and media sources, the methods behind them, their value in public health, and the field’s challenges and emerging developments.
How to Cite
@article{ng2020application,
title={Application of natural language processing algorithms for extracting information from news articles in event-based surveillance},
author={Ng, Victoria and Rees, Erin E and Niu, Jingcheng and Zaghlool, Abdelhamid and Ghiasbeglou, Homeira and Verster, Adrian},
journal={Canada Communicable Disease Report},
volume={46},
number={6},
pages={186--191},
year={2020},
publisher={Public Health Agency of Canada}
}