Introduction to Text Analytics in R
Ended Jan 15, 2021
6 credits
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Full course description
Term: Spring 2021
Date: January 11th, & 15th, 2021
Time: 1:00pm - 3:00pm
Location: ONLINE ONLY
Instructor: Frances McCarty, Jennifer Van Mullekom, & Kate Miller
Presented By: Statistical Applications & Innovations Group (SAIG)
Description:
Text data is naturally messy and challenging to analyze. Different elements of Natural Language Processing can help show patterns and signal out of text data. In this short course, we will go through an introduction to NLP and show how to create meaningful conclusions from text data. This course includes hands-on exercises in the open-source software package R.
*Familiarity with R is strongly recommended.
Bring your laptop and please install R and RStudio on your machine by downloading from the following links:
https://www.r-project.org/
https://www.rstudio.com/products/rstudio/download/
If you already have R and RStudio on your laptop, make sure they are the most up to date versions.
This course is jointly sponsored by the Statistical Application and Innovations Group (SAIG) and Professional Development Network (PDN).