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Canada communicable disease report = Releve des maladies transmissibles au Canada
Jun 04, 2020;46 (6): 186-191.

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

Victoria Ng, Erin E Rees, Jingcheng Niu, Abdelhamid Zaghool, Homeira Ghiasbeglou, Adrian Verster
Author Information
  1. Victoria Ng: National Microbiology Laboratory, Public Health Agency of Canada.
  2. Erin E Rees: National Microbiology Laboratory, Public Health Agency of Canada.
  3. Jingcheng Niu: Department of Computer Science, University of Toronto, Toronto, ON.
  4. Abdelhamid Zaghool: Centre for Emergency Preparedness and Response, Public Health Agency of Canada.
  5. Homeira Ghiasbeglou: Centre for Emergency Preparedness and Response, Public Health Agency of Canada.
  6. Adrian Verster: Food Directorate, Health Canada, Ottawa, ON.
PMID: 33382063 DOI: 10.14745/ccdr.46i06a06

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.

Keywords

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

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Created with Highcharts 10.0.0informationnaturallanguageprocessingextractionevent-basedsurveillanceNLPEBSsystemsopen-sourcenewsarticlesalgorithmsfocusarticleapplicationdescribecommonapplicationsmediasourcesmethodsvaluepublichealthchallengesemergingdevelopmentsApplicationextractingdata

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