Statistics Seminar: STA 290
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).