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Multilingual Media Monitoring and Text Analysis – Challenges for Highly Inflected Languages

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Part of the Lecture Notes in Computer Science book series (LNAI,volume 8082)


We present 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 also give an overview of EMM’s text mining tool set, focusing on the issue of how the software deals with highly inflected languages such as those of the Slavic and Finno-Ugric language families. The questions we ask are: How to adapt extraction patterns to such languages? How to de-inflect extracted named entities? And: Will document categorisation benefit from lemmatising the texts?


  • multilinguality
  • text mining
  • information extraction
  • text classification
  • inflection
  • Slavic and Finno-Ugric languages
  • media monitoring

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Steinberger, R., Ehrmann, M., Pajzs, J., Ebrahim, M., Steinberger, J., Turchi, M. (2013). Multilingual Media Monitoring and Text Analysis – Challenges for Highly Inflected Languages. In: Habernal, I., Matoušek, V. (eds) Text, Speech, and Dialogue. TSD 2013. Lecture Notes in Computer Science(), vol 8082. Springer, Berlin, Heidelberg.

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-40584-6

  • Online ISBN: 978-3-642-40585-3

  • eBook Packages: Computer ScienceComputer Science (R0)