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There is now a CONTENT FREEZE for Mercury while we switch to a new platform. It began on Friday, March 10 at 6pm and will end on Wednesday, March 15 at noon. No new content can be created during this time, but all material in the system as of the beginning of the freeze will be migrated to the new platform, including users and groups. Functionally the new site is identical to the old one. webteam@gatech.edu
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Please note, the RIM Seminar on November 13 will be held in the Student Center Theater from 12-1 p.m. Seminars are open to the public.
Mark Dredze, Assistant Research Professor in the Department of Computer Science at Johns Hopkins University, presents Models for Mining Public Health Information from Social Media.
Abstract
Twitter 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.
Bio
Mark 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.