School of Information Studies
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Course Description

Introduces concepts and methods for knowledge discovery from large amount of text data, and the application of text mining techniques for business intelligence, digital humanities, and social behavior analysis.

Credit(s)

3.0

Professor of Record

Bei Yu

Audience

Graduate students.

Learning Objectives

After taking this course, students will be able to: 

  1. Describe basic concepts and methods in text mining, for example document representation, information extraction, text classification and clustering, and topic modeling;
  2. Use benchmark corpora, commercial and open-source text analysis and visualization tools to explore interesting patterns;
  3. Understand conceptually the mechanism of advanced text mining algorithms for information extraction, text classification and clustering, opinion mining, and their applications in real-world problems; and
  4. Choose appropriate technologies for specific text analysis tasks and evaluate the benefit and challenges of the chosen technical solution.

Course Syllabus

IST 736 Fall 2020 (2U) Syllabus


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