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SUMMARY:Predicting and Analysing Online User Behaviour with Natural Langua
 ge Processing - Nikolaos Aletras (University of Sheffield)
DTSTART:20190523T100000Z
DTEND:20190523T110000Z
UID:TALK125332@talks.cam.ac.uk
CONTACT:Edoardo Maria Ponti
DESCRIPTION:Studying the behaviour of social media users is an important p
 roblem in computational social science. Automated inference of user charac
 teristics has applications in personalised recommender systems\, targeted 
 computational advertising and online political campaigning. In this talk\,
  I will present three case studies: (1) inferring socioeconomic characteri
 stics (e.g.\, income and occupational class)\; (2) studying voting behavio
 ur\; and (3) complaints.
LOCATION:Board room\, Faculty of English\, 9 West Rd (Sidgwick Site)
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