While it is relatively easy to turn a photo into a Picasso-style image using a computer, it is not yet possible to produce a text in a specific individual style, such as that of an author like Franz Kafka. The problem with texts is that the style and the subject matter are not necessarily cognate. A new research project headed up by Dr. Sophie Burkhardt of the Institute of Computer Science at Johannes Gutenberg University Mainz (JGU) will be looking into exactly this problem. For this, the project "Semantic Disentanglement: Differentiation of Style and Topic in Text Data" will be receiving some EUR 2 million from the German Federal Ministry of Education and Research (BMBF). The researchers intend to develop models and software with the aim of improving the automatic analysis and generation of good quality texts.