Natural Language Processing
Course will cover practical techniques and strategies for analyzing text data to extract meaningful information, discover new patterns, and support decision making and hypothesis generation. It will introduce several text mining applications that apply to domain specific problems. Students will learn the complete set of steps involved in working with text data, from reading the text data to creating categories for additional analysis, and examining the relationships discovered using the text components of SPSS Modeler and other tools. The course will emphasize the importance of finding new ways to extract meaning from text through an “accelerated discovery” process implemented by the emerging IBM Watson cognitive systems. Prerequisite(s): MSBA 300 and MSBA 320.