...
Professor of Record
Bei Yu
Course Syllabus
(Show as attachment or a link to One-drive)
This syllabus applies to all sections of this course.
Or
There are multiple sections of this course. Each section has its own syllabus.
List the sections here as embedded links to OneDrive
Course Details
Place any information – if none, delete this section
What should be here:
how often this course if offered
...
Audience
Graduate students.
Learning Objectives
After taking this course, students will be able to:
- Describe basic concepts and methods in text mining, for example document representation, information extraction, text classification and clustering, and topic modeling;
- Use benchmark corpora, commercial and open-source text analysis and visualization tools to explore interesting patterns;
- 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
- 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
...
Other iSchool Courses
Child pages (Children Display) | ||||
---|---|---|---|---|
|
...