1. Introduction

2. Motivation for multilingual text mining

3. The Europe Media Monitor family of applications

4. How to achieve multilinguality
4.1 Related work: Insights by other multilingual developers
4.2 Related work: Machine Learning
4.3 Related work: Cross-lingual projection
4.4 Insights by EMM developers

5. Examples for applications developed according to these guidelines
5.1 Matching name variants across many languages and scripts
5.2 Quotation Recognition
5.3 Sentiment analysis
5.4 Multilingual multi-document summarization

6. Required language resources

7. Summary and Conclusion