Dec 06, 2022  
2017-2018 Catalog 
    
2017-2018 Catalog [ARCHIVED CATALOG]

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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: DSCI 305.
Credits: 4
Grade Mode: Letter



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