MIS 434 - Applied Text Analytics for Business

As the core of business analytics, mining structured and unstructured data is critical for better decision making by deriving insights from a variety of data repositories. This course introduces how text analytics techniques can be used to improve decision making in different business applications. This course covers the fundamental principles and techniques of natural language processing and text mining. It uses real-world examples and cases to place text-mining techniques in context. Students will have hands-on experience with data/text mining software and implement a comprehensive group project.

Prerequisites & Notes: Majors only. DSCI 305 or ECON 375.
Credits: 4
Grade Mode: Letter