Literary Text Mining
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Course Description
This course will train students in applied methods for computationally analyzing texts for humanities research. The skills students will gain will include basic programming for textual analysis, applied statistical evaluation of results and the ability to present these results within a formal research paper or presentation. Students in the course will also learn the prerequisite steps of such an analysis including corpus selection and cleaning, metadata collection, and selecting and creating an appropriate visualization for the results.
Grading Basis
RLT - Letter (ABCD/NP)
Min
5
Max
5
Course Repeatable for Degree Credit?
No
Course Component
Seminar
Enrollment Optional?
No
This course has been approved for the following WAYS
Applied Quantitative Reasoning (AQR)
Does this course satisfy the University Language Requirement?
No
Programs
ENGLISH184E
is a
completion requirement
for: