Event box

R case study: sentiment analysis

Bulding on knowledge from earlier Rfun workshops, learn basic text mining techniques with RStudio and critical packages. Attendees will analyze public domain novels by Jane Austen, wrangle text-data into submission, tokenize corpora, generate word clouds, and be introduced to introductory sentiment analysis.  

Prerequisites

  • Introductory familiarity with R and the Tidyverse (e.g. quickStart with R, part 1)
  • Install R and RStudio on your computer
  • tidyverese, tidytext, janeaustenr, wordcloud2 and packages installed in your R environment

install.packages(c("tidyverse", "tidytext", "janeaustenr", "wordcloud2"))

This event is offered virtually in accordance with Duke's Coronavirus events policies. A zoom link will be sent via email to registered participants to join the workshop. 

The content of the workshop may be recorded. If you are uncomfortable with a recording being published, please contact the instructor at anytime prior to the conclusion of the workshop.

Data Science

Date:
Thursday, April 15, 2021
Time:
1:30pm - 3:00pm
Campus:
n/a
Categories:
Data and Visualization  

Registration is required. There are 15 seats available.

Event Organizer

Profile photo of John Little
John Little
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Center for Data and Visualization Sciences