STATISTICS
COLLOQUIUM: STA/BST 290 Seminar Series, Spring 2012
Thursday, April 12th, 2012 at
4.10pm, MSB 1147 (Colloquium Room)
Refreshments prior to seminar in MSB 4110 (Statistics Lounge)
Speaker:
Nello Cristianini (Intelligent
Systems Laboratory, Univ. Bristol, UK)
Title: Patterns in news and social media
content
Abstract: The application of statistical learning
algorithms to large amounts of text can help social scientists to analyse media
content and public opinion in new ways. I will review the work done in the past
5 years on the creation of a big-data infrastructure for the gathering and
analysis of multilingual news and twitter content.
Macroscopic
patterns in the global media content will be discussed, including some about US
elections, EU mediasphere and UK mood.
BIO Nello
Cristianini is a Professor of Artificial Intelligence at the University of
Bristol. Before the appointment to Bristol he has held faculty positions at the
University of California, Davis, and visiting positions at the University of
California, Berkeley, and in many other institutions. Before that he was a
research assistant at Royal Holloway, University of London. He has also covered
industrial positions. He has a PhD from the University of Bristol, a MSc from
Royal Holloway, University of London, and a Degree in Physics from University
of Trieste. Nello has been a recipient of the Royal Society Wolfson
Research Merit Award, and is co-author of the books 'An Introduction to
Support Vector Machines' and 'Kernel Methods for Pattern Analysis' with John
Shawe-Taylor, and "Introduction to Computational Genomics" with Matt
Hahn (all published by Cambridge University Press).
