Mijail Kabadjov

The Europe Media Monitor family of news analysis applications
June 29 5:30PM
The speaker will present the Europe Media Monitor (EMM) family of applications developed at the Joint Research Centre (JRC) of the European Commission. EMM consists of four publicly accessible news analysis systems (see http://press.jrc.it/overview.html):
(1)  NewsBrief – presents the current state of affairs and detects sudden changes in real time;
(2)  MedISys – is the Medical Information System focusing specifically on health-related news;
(3)  NewsExplorer – allows to navigate news over time and across languages; also gathers information about people and organisations from multilingual news in the course of time.
(4)  EMM-Labs – gives access to various data visualisation and advanced text processing tools.

EMM collects more than 80,000 articles per day from about 2,200 online news sources (e.g. BBC, Le Monde) in 43 different languages, including non-Latin character set languages such as Chinese, Arabic and Russian. EMM applications employ robust and efficient techniques using statistics and Language Technology to cluster news articles into major news stories, monitor the development of a story over time and across languages, extract information about entities (locations, persons and organisation) covered in the media, and more. The major objective of EMM is to serve the needs of users in the European Commission and in European Union Member State institutions. However, the service is freely accessible online so that a wide range of other users benefit from the applications: EMM web sites get between one and two Million hits per day (approximately 30,000 visitors per day). Additionally, many users are subscribed to email notifications. For more technical details and related research publications, see http://langtech.jrc.it.

Mijail Kabadjov works at the European Commission’s Joint Research Centre (JRC) in Ispra (Italy), in the field of multilingual text summarisation and text mining. He joined the JRC from the School of Informatics of the University of Edinburgh (UK) where he spent two years with the Language Technology Group developing text mining applications for the biomedical and recruitment domains. He holds a Ph.D. in Computer Science from the University of Essex (UK), defended with a thesis on general-purpose anaphora resolution. Before commencing the Ph.D., he worked on various projects in industry, ranging from fraud detection in credit card transactions to customer service optimisation of a large manufacturing firm.