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Professor of Record

Bei Yu

Course Syllabus

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Course Details

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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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