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dc.contributor.authorDredze, Marken_US
dc.date.accessioned2012-12-18T21:09:39Z
dc.date.available2012-12-18T21:09:39Z
dc.date.issued2012-11-13
dc.identifier.urihttp://hdl.handle.net/1853/45592
dc.descriptionPresented on November 13, 2012 from 12:00 pm - 1:00 pm in the Student Center Theater.en_US
dc.descriptionMark Dredze is an Assistant Research Professor in Computer Science at Johns Hopkins University and a research scientist at the Human Language Technology Center of Excellence. He is also affiliated with the Center for Language and Speech Processing and the Center for Population Health Information Technology. His research in natural language processing and machine learning has focused on graphical models, semi-supervised learning, information extraction, large-scale learning, and speech processing. His recent work includes health information applications, including information extraction from social media, biomedical and clinical texts. He obtained his PhD from the University of Pennsylvania in 2009.en_US
dc.descriptionRuntime: 57:02 minutes.en_US
dc.description.abstractTwitter and other social media sites contain a wealth of information about populations and has been used to track sentiment towards products, measure political attitudes, and study social linguistics. In this talk, we investigate the potential for Twitter and social media to impact public health research. Broadly, we explore a range of applications for which social media may hold relevant data, including disease surveillance, public safety, and drug usage patterns. To uncover these trends, we develop new statistical models that can reveal trends and patterns of interest to public health from vast quantities of data. Our results suggest that social media has broad applicability for public health research.en_US
dc.format.extent57:02 minutes
dc.language.isoen_USen_US
dc.publisherGeorgia Institute of Technologyen_US
dc.relation.ispartofseriesIRIM Seminar Seriesen_US
dc.subjectTwitteren_US
dc.subjectSocial mediaen_US
dc.subjectPublic health researchen_US
dc.titleModels for Mining Public Health Information from Social Mediaen_US
dc.typeLectureen_US
dc.typeVideoen_US
dc.contributor.corporatenameJohns Hopkins Universityen_US
dc.contributor.corporatenameGeorgia Institute of Technology. Center for Robotics and Intelligent Machinesen_US


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  • IRIM Seminar Series [93]
    Each semester a core seminar series is announced featuring guest speakers from around the world and from varying backgrounds in robotics.

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