MKTG6640
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Business Applications of Text Analytics
Description
The web is replete with unstructured data in the form of emails, tweets, blogs, customer reviews, and so on. This course introduces the tools and concepts that allow businesses to analyze textual data and shows how these methods can be used to make better business decisions in online and offline contexts. The course focuses on different analytical techniques and algorithms including preprocessing, text classification, text clustering, topic modeling, document summarization, and sentiment analysis. These methods are applied to different areas of business including marketing, human resource management, business law, accounting, and finance.
Minimum Credits
3
Maximum Credits
3
Repeat for Credit
No
Required Requisite(s):
011727
Semesters Typically Offered
Summer