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

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This article discusses text and structural data mining of influenza mentions in web and social media.

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20 p.

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Corley, Courtney; Cook, Diane J., 1963-; Mikler, Armin R. & Singh, Karan P. February 22, 2010.

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This article is part of the collection entitled: UNT Scholarly Works and was provided by UNT College of Engineering to Digital Library, a digital repository hosted by the UNT Libraries. It has been viewed 196 times , with 6 in the last month . More information about this article can be viewed below.

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UNT College of Engineering

The UNT College of Engineering promotes intellectual and scholarly pursuits in the areas of computer science and engineering, preparing innovative leaders in a variety of disciplines. The UNT College of Engineering encourages faculty and students to pursue interdisciplinary research among numerous subjects of study including databases, numerical analysis, game programming, and computer systems architecture.

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This article discusses text and structural data mining of influenza mentions in web and social media.

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20 p.

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Abstract: 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. The authors also bring to bear a graph-based data mining technique to detect anomalies among flu blogs connected by publisher type, links, and user-tags.

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  • International Journal of Environmental Research and Public Health, 2010, Basel: Multidisciplinary Digital Publishing Institute (MDPI), pp. 596-615

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  • Publication Title: International Journal of Environmental Research and Public Health
  • Volume: 7
  • Page Start: 596
  • Page End: 615
  • Peer Reviewed: Yes

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UNT Scholarly Works

Materials from the UNT community's research, creative, and scholarly activities and UNT's Open Access Repository. Access to some items in this collection may be restricted.

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  • February 22, 2010

Added to The UNT Digital Library

  • Nov. 2, 2012, 1:21 p.m.

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  • March 27, 2014, 1:30 p.m.

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Corley, Courtney; Cook, Diane J., 1963-; Mikler, Armin R. & Singh, Karan P. Text and Structural Data Mining of Influenza Mentions in Web and Social Media, article, February 22, 2010; [Basel, Switzerland]. (digital.library.unt.edu/ark:/67531/metadc111288/: accessed December 17, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT College of Engineering.