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SUMMARY:Natural Language Processing and online health reports (or OMG U go
 t flu?) - Nigel Collier &amp\; Anna Korhonen
DTSTART:20161117T150000Z
DTEND:20161117T153000Z
UID:TALK68848@talks.cam.ac.uk
CONTACT:Guy Edward Toh Emerson
DESCRIPTION:Online health information is widely reported by individuals in
  social media\, chat rooms\, discussion boards and also by the news media.
  These informal sources of evidence about our individual health\, attitude
 s and behaviours are driving the development of new techniques for studyin
 g human health in areas ranging from real-time disease surveillance\, to u
 nderstanding mental illness\, to providing evidence for new applications o
 f drugs. Informal patient data on the Web is increasing\, accessible\, low
  cost and seems likely to cover a greatly expanded population compared to 
 traditional survey methods. However in order to understand and integrate t
 his data researchers in Natural Language Processing (NLP) must grapple wit
 h theoretical\, practical and ethical challenges.  For example: How can ma
 chines achieve fine-grained analysis and understanding of laymen's health 
 language?  How does online health report data complement traditional surve
 y data?  How can we integrate online health data with other data sources s
 uch as databases and ontologies?  What benefit could there be in a longitu
 dinal analysis of an individual's online health reports over a period of t
 ime?  Our talk will illustrate answers to these questions in the light of 
 our recent attempts to harness social and news media as a new type of sign
 al for understanding human health.\n\nYou can register for the symposium h
 ere:\nhttps://www.eventbrite.co.uk/e/cambridge-language-sciences-symposium
 -2016-tickets-28454750926
LOCATION:Queen's Building\, Emmanuel College
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