Imperial College London > Talks@ee.imperial > Featured talks > Automatic Discovery of Patterns in Media Content
Log inImperial users Other users No account?Information onFinding a talk Adding a talk Syndicating talks Who we are Everything else |
Automatic Discovery of Patterns in Media ContentAdd to your list(s) Download to your calendar using vCal
If you have a question about this talk, please contact nobody. What can we learn about the world (and the media system) by analysing millions of news articles or tweets ? Media content analysis has historically been the domain of the social sciences, but recently we are witnessing a strong trend towards the automation of many tasks, paving the way for a new – computational – approach to social science and even the humanities. In this talk we will survey the results obtained over the past 5 years at the Intelligent Systems Laboratory of Bristol, in the area of automating the analysis of news media content. By combining techniques from machine translation, pattern recognition, statistical learning, information retrieval, we will analyse patterns connected to the US Presidential Elections, to UK public opinion, and to EU cultural biases. (https://patterns.enm.bris.ac.uk/people/nello-cristianini) This talk is part of the Featured talks series. This talk is included in these lists:
Note that ex-directory lists are not shown. |
Other listsType the title of a new list here CAS Talks The FuturICT Flagship: Creating Socially Interactive Information Technologies for a Sustainable FutureOther talksOptimizing the arithmetic precision of MCMC algorithms Space for Everyone Algorithms and computer architectures for efficient real-time optimization and linear algebra solvers Optimal Control of an Atomic Force Microscope on an FPGA using the Fast Gradient Method |