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  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) SyllabusQuarter Term Syllabus

IST 736 Spring 2021 Semester Syllabus - Bei Yu

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