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CS 632S Analysis of Textual Data

Course Description: This course gives an introduction to the analysis of textual data. Concepts covered include quantification of textual data, document categorization, and information retrieval and prediction. Topics covered include text parsing, text filtering, constructing term-document matrix, applying singular value decomposition, feature extraction, and clustering and predictive modeling with textual data. The course also addresses the application of these techniques to other types of unstructured data such as medical records and insurance reports.
. Course Rotation: Every Spring

Credits

3 credits