  A high-quality content analysis is essential for retrieval functionalities
but the manual extraction of key phrases and classification is expensive.
Natural language processing provides a framework to automatize the process.
Here, a machine-based approach for the content analysis of mathematical texts
is described. A prototype for key phrase extraction and classification of
mathematical texts is presented.
