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Teaching Text Mining

Ended Oct 10, 2023
1 credit

Full course description

Term: Fall 2023

Date: October 10th, 2023

Time: 12:00pm - 1:00pm

Location: Online Only 

Instructors: Kate Miller & Jennifer Van Mullekom

Presented By: Statistical Applications & Innovations Group (SAIG)



Unstructured text data is everywhere, and modern analytics and data science education is increasingly covering text mining techniques. Text Explorer in JMP and JMP Pro enables students to learn basic and advanced text mining methods through an interactive, no-code interface, making text mining approachable to a wide range of students and disciplines. This webinar demonstrates basic text analyses in JMP, including term frequencies, word clouds, and term co-occurrences before moving on to more advanced techniques in JMP Pro, including latent semantic analysis, topic analysis, and sentiment analysis. We’ll also review free text mining teaching resources that you can incorporate into your course.

NOTE: Participants will also have to register with JMP for this event.  In order to do that, complete the PDN registration and then visit the Canvas site for the JMP registration information.