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}
}