Introduction to Text Mining

Catalog description

An introduction to the study of classical and current approaches in the field of the processing, extraction and classification of textual data. The approaches include natural language processing, statistical models of language, algorithms in machine learning use applied in text mining. Analysis of current applications in static data collections and dynamic data collections such as the web will be carried out. Enrollment Requirement(s): for graduate students CS 311 . Prerequisite(s): for undergraduate students CS 311 .