Text and Structural Data Mining of Influenza Mentions in Web and Social Media
Journal Article
·
· International Journal of Environmental Research and Public Health, 7(2):596-615
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.
- Research Organization:
- Pacific Northwest National Laboratory (PNNL), Richland, WA (US)
- Sponsoring Organization:
- USDOE
- DOE Contract Number:
- AC05-76RL01830
- OSTI ID:
- 978932
- Report Number(s):
- PNNL-SA-69450
- Journal Information:
- International Journal of Environmental Research and Public Health, 7(2):596-615, Journal Name: International Journal of Environmental Research and Public Health, 7(2):596-615 Journal Issue: 2 Vol. 7
- Country of Publication:
- United States
- Language:
- English
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