Text classification is a well-known use case. But how do you approach this classification task if the text is in multiple different languages? In this session Katharina presents different options for solving multi-language classification problems like language embeddings as well as different translation models and APIs and discuss the challenges to use them in practice. Finally, she presents a new approach that works especially well on short texts and which is now used to classify banking transactions at ING.