Application of natural language processing algorithms for extracting information from news articles in event-based surveillance
- DOI
- Language of the publication
- English
- Date
- 2020-06-04
- Type
- Article
- Author(s)
- Ng, Victoria
- Rees, Erin E.
- Niu, Jingcheng
- Zaghlool, Abdelhamid
- Ghiasbeglou, Homeira
- Verster, Adrian
- Publisher
- Public Health Agency of Canada
Abstract
The focus of this article is the application of natural language processing (NLP) for information extraction in event-based surveillance (EBS) systems. We describe common information extraction applications from open-source news articles and media sources in EBS systems, methods, value in public health, challenges and emerging developments.
Subject
- Health
Keywords
- natural language processing,
- event-based surveillance,
- algorithms,
- information extraction,
- open-source data
Rights
Peer review
Yes
Open access level
Gold
Article
- Journal title
- Canada Communicable Disease Report (CCDR)
- Journal volume
- 46
- Journal issue
- 6
Relation
- Is translation of:
- https://open-science.canada.ca/handle/123456789/2657
Citation(s)
Ng V, Rees EE, Niu J, Zaghlool A, Ghiasbeglou H, Verster A. Application of natural language processing algorithms for extracting information from news articles in event-based surveillance. Can Commun Dis Rep 2020;46(6):186–91. https://doi.org/10.14745/ccdr.v46i06a06