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IDS 422

Text Mining for Business Applications

University of Illinois Chicago 3-4 credits Finance Information and Decision Sciences

Course Description

Text mining for business applications. It will cover document representation, text categorization and clustering, basic natural language processing techniques, sentiment analysis, probabilistic topic models and text visualization. Course Information: 3 undergraduate hours. 4 graduate hours. Prerequisite(s): IDS 371 or FIN 330 or ECON 300 or ACTG 392 or STAT 382 or STAT 481; or consent of the instructor.

Code
IDS 422
Credits
3-4
Subject
Finance Information and Decision Sciences

Programs That Include This Course

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