We give an overview of the highly multilingual news analysis system
Europe Media Monitor
(EMM), which gathers an average of 175,000 online news articles per day in tens of languages, categorises the news items and extracts named entities and various other information from them. We explain how users benefit from media monitoring and why it is so important to monitor the news in many different languages. We also describe the challenge of developing text mining tools for tens of languages and in particular that of dealing with highly inflected languages, such as those of the Balto-Slavonic and Finno-Ugric language families.