Our modern world is witnessing a growth of data in a variety of forms ‑ structured, semi‑structured, and unstructured ‑ including e.g., web documents, blogs, social networks, digital libraries or medical records. Much of this data contains valuable information for businesses, such as emerging opinions in social networks, search trends from search engines, or consumer purchase behavior. Consequently, companies more and more use analytics techniques to draw value from a variety of diverse data sources. This course will introduce you to the basics of ʺtext analyticsʺ. We focus on the business value of text analytics solutions. You will learn about specific use cases across different industries that rely on innovative technical concepts and tools - especially when text data comes into play: Business and stock market news, customer reports, corporate websites, patents, analyst reports, social media, fraud detection, or documents of a political nature. Companies and especially start‑ups use this data to optimize processes or offer completely new services. As an outlook, further analytical techniques such as voice and image recognition will be introduced in this course.