Most of the data that exists is unstructured text data. Prominent examples of this are social media posts, scientific publications or news. In order for classical data mining techniques to make any use of it, this data needs to be structured. Text Mining is the science that tries to structure texts and to use the gained insights to synthesize new knowledge and make new predictions. This talk will give an introduction to the problem text mining is tackling, the standard approaches to text mining, the application possibilities of machine learning algorithms within text mining systems and possible practical applications of text mining.