Twitter mining using semi-supervised classification for relevance filtering in syndromic surveillance

Oduwa Edo-Osagie; Gillian Smith; Iain Lake; Obaghe Edeghere; Beatriz De La Iglesia

doi:10.1371/journal.pone.0210689

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Open Access

Peer-reviewed

Research Article

Twitter mining using semi-supervised classification for relevance filtering in syndromic surveillance

Oduwa Edo-Osagie ,

Roles Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Software, Validation, Writing – original draft, Writing – review & editing

* E-mail: o.edo-osagie@uea.ac.uk

Affiliation School of Computing Science, University of East Anglia, Norwich, Norfolk, United Kingdom

http://orcid.org/0000-0002-1426-3122

⨯
Gillian Smith,

Roles Conceptualization, Data curation, Funding acquisition, Project administration, Validation, Writing – review & editing

Affiliation Real-time Syndromic Surveillance Team, National Infection Service, Public Health England, Birmingham, United Kingdom
⨯
Iain Lake,

Roles Conceptualization, Data curation, Funding acquisition, Project administration, Supervision, Validation, Writing – review & editing

Affiliation School of Environmental Sciences, University of East Anglia, Norwich, Norfolk, United Kingdom
⨯
Obaghe Edeghere,

Roles Conceptualization, Data curation, Funding acquisition, Project administration, Supervision, Validation, Writing – review & editing

Affiliation Epidemiology West Midlands, Field Service, National Infection Service, Public Health England, Birmingham, United Kingdom
⨯
Beatriz De La Iglesia

Roles Conceptualization, Data curation, Formal analysis, Funding acquisition, Investigation, Methodology, Project administration, Supervision, Validation, Writing – review & editing

Affiliation School of Computing Science, University of East Anglia, Norwich, Norfolk, United Kingdom
⨯

Twitter mining using semi-supervised classification for relevance filtering in syndromic surveillance

Oduwa Edo-Osagie,
Gillian Smith,
Iain Lake,
Obaghe Edeghere,
Beatriz De La Iglesia

Published: July 18, 2019
https://doi.org/10.1371/journal.pone.0210689

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