Web and Text Mining

This course teaches methods of mining large amounts of text. Students will be introduced to methods for obtaining, exploring, and preprocessing large amounts of text. Tools for natural language processing, topic modeling, sentiment analysis and Bayesian classifiers will be introduced. Business and biomedical applications of text mining will be discussed.

Term 202440 #41515 CS02485
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Instructor
Leonchuck, Michael Email View Faculty Courses
Meeting Times
Location: ROBSON 305 (M)
@ 18:30 - 19:45
From 2024-09-03 to 2024-12-19
Location: ROBSON 305 (M)
@ 20:00 - 21:15
From 2024-09-03 to 2024-12-19
Enrollment

2

seats available

22

currently enrolled

24

maximum enrollment

50

waitlist seats available

50

waitlist capacity

Section Tally

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