Application of natural language processing algorithms for extracting information from news articles in event-based surveillance
- DOI
- Langue de publication
- Anglais
- Date
- 2020-06-04
- Type
- Article
- Auteur(s)
- Ng, Victoria
- Rees, Erin E.
- Niu, Jingcheng
- Zaghlool, Abdelhamid
- Ghiasbeglou, Homeira
- Verster, Adrian
- Éditeur
- Public Health Agency of Canada
Résumé
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.
Sujet
- Santé
Mots-clés
- natural language processing,
- event-based surveillance,
- algorithms,
- information extraction,
- open-source data
Droits
Évalué par les pairs
Yes
Niveau de libre accès
Or
Article
- Titre de la revue
- Canada Communicable Disease Report (CCDR)
- Volume de la revue
- 46
- Numéro de revue
- 6
Relation
- Est la traduction de :
- https://science-ouverte.canada.ca/handle/123456789/2657
Référence(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