Imperial College London > Talks@ee.imperial > Featured talks > Automatic Discovery of Patterns in Media Content

Automatic Discovery of Patterns in Media Content

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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. (

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