MKTG6640

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Business Applications of Text Analytics

Marketing BU - David Eccles Sch of Business

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