IS 686 - Business Analytics with Text Mining

An estimated 80 percent or more of an organization’s data is semi-structured or unstructured textual data (call center logs, emails, corporate documents/forms, etc.). Thanks to the web and social media, the volume of textual data has grown at an unprecedented pace during the past decade. This course aims to increase student awareness of the power of text mining to derive business insights from text-based content. The primary focus in the course is on predictive modeling within broad frameworks for business analytics. In addition, students will learn practical techniques for information retrieval and text mining that allow organizations to maximize the value of information within large volumes of textual data.
Lecture
Credits: 3
Prerequisites: MBA 580 or equivalent and MBA 510 or equivalent.
Offered in the Fall, Winter and Spring trimesters