Text and Structural Data Mining of Influenza Mentions in Web and Social Media

Text and structural data mining of web and social media (WSM) provides a novel disease surveillance resource and can identify online communities for targeted public health communications (PHC) to assure wide dissemination of pertinent information. WSM that mention influenza are harvested over a 24-w...

Descripción completa

Detalles Bibliográficos
Autores principales: Corley, Courtney D., Cook, Diane J., Mikler, Armin R., Singh, Karan P.
Formato: Texto
Lenguaje:English
Publicado: Molecular Diversity Preservation International (MDPI) 2010
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2872292/
https://www.ncbi.nlm.nih.gov/pubmed/20616993
http://dx.doi.org/10.3390/ijerph7020596
_version_ 1782181207223566336
author Corley, Courtney D.
Cook, Diane J.
Mikler, Armin R.
Singh, Karan P.
author_facet Corley, Courtney D.
Cook, Diane J.
Mikler, Armin R.
Singh, Karan P.
author_sort Corley, Courtney D.
collection PubMed
description Text and structural data mining of web and social media (WSM) provides a novel disease surveillance resource and can identify online communities for targeted public health communications (PHC) to assure wide dissemination of pertinent information. WSM that mention influenza are harvested over a 24-week period, 5 October 2008 to 21 March 2009. Link analysis reveals communities for targeted PHC. Text mining is shown to identify trends in flu posts that correlate to real-world influenza-like illness patient report data. We also bring to bear a graph-based data mining technique to detect anomalies among flu blogs connected by publisher type, links, and user-tags.
format Text
id pubmed-2872292
institution National Center for Biotechnology Information
language English
publishDate 2010
publisher Molecular Diversity Preservation International (MDPI)
record_format MEDLINE/PubMed
spelling pubmed-28722922010-07-08 Text and Structural Data Mining of Influenza Mentions in Web and Social Media Corley, Courtney D. Cook, Diane J. Mikler, Armin R. Singh, Karan P. Int J Environ Res Public Health Article Text and structural data mining of web and social media (WSM) provides a novel disease surveillance resource and can identify online communities for targeted public health communications (PHC) to assure wide dissemination of pertinent information. WSM that mention influenza are harvested over a 24-week period, 5 October 2008 to 21 March 2009. Link analysis reveals communities for targeted PHC. Text mining is shown to identify trends in flu posts that correlate to real-world influenza-like illness patient report data. We also bring to bear a graph-based data mining technique to detect anomalies among flu blogs connected by publisher type, links, and user-tags. Molecular Diversity Preservation International (MDPI) 2010-02-22 2010-02 /pmc/articles/PMC2872292/ /pubmed/20616993 http://dx.doi.org/10.3390/ijerph7020596 Text en © 2010 by the authors; licensee Molecular Diversity Preservation International, Basel, Switzerland. http://creativecommons.org/licenses/by/3.0 This article is an open-access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/).
spellingShingle Article
Corley, Courtney D.
Cook, Diane J.
Mikler, Armin R.
Singh, Karan P.
Text and Structural Data Mining of Influenza Mentions in Web and Social Media
title Text and Structural Data Mining of Influenza Mentions in Web and Social Media
title_full Text and Structural Data Mining of Influenza Mentions in Web and Social Media
title_fullStr Text and Structural Data Mining of Influenza Mentions in Web and Social Media
title_full_unstemmed Text and Structural Data Mining of Influenza Mentions in Web and Social Media
title_short Text and Structural Data Mining of Influenza Mentions in Web and Social Media
title_sort text and structural data mining of influenza mentions in web and social media
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2872292/
https://www.ncbi.nlm.nih.gov/pubmed/20616993
http://dx.doi.org/10.3390/ijerph7020596
work_keys_str_mv AT corleycourtneyd textandstructuraldataminingofinfluenzamentionsinwebandsocialmedia
AT cookdianej textandstructuraldataminingofinfluenzamentionsinwebandsocialmedia
AT miklerarminr textandstructuraldataminingofinfluenzamentionsinwebandsocialmedia
AT singhkaranp textandstructuraldataminingofinfluenzamentionsinwebandsocialmedia

Ejemplares similares