Application of natural language processing algorithms for extracting information from news articles in event-based surveillance.

Ng, Victoria; Rees, Erin E; Niu, Jingcheng; Zaghool, Abdelhamid; Ghiasbeglou, Homeira; Verster, Adrian

Ng, Victoria; Rees, Erin E; Niu, Jingcheng; Zaghool, Abdelhamid; Ghiasbeglou, Homeira; Verster, Adrian.

Afiliação

Ng V; National Microbiology Laboratory, Public Health Agency of Canada.
Rees EE; National Microbiology Laboratory, Public Health Agency of Canada.
Niu J; Department of Computer Science, University of Toronto, Toronto, ON.
Zaghool A; Centre for Emergency Preparedness and Response, Public Health Agency of Canada.
Ghiasbeglou H; Centre for Emergency Preparedness and Response, Public Health Agency of Canada.
Verster A; Food Directorate, Health Canada, Ottawa, ON.

Can Commun Dis Rep ; 46(6): 186-191, 2020 Jun 04.

Article em En | MEDLINE | ID: mdl-33382063

RESUMO

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.

Palavras-chave

NLP; algorithms; event-based surveillance; information extraction; natural language processing; open-source data

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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Screening_studies Idioma: En Revista: Can Commun Dis Rep Assunto da revista: DOENCAS TRANSMISSIVEIS / EPIDEMIOLOGIA Ano de publicação: 2020 Tipo de documento: Article

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