In r4ds/bookclub-dsieur: Data Science in Education Using R Book Club

Walkthrough 5: Text Analysis With Social Media Data

Learning objectives:

Understand how to retrieve data from Twitter
Understand the robustness of Twitter data
Learn basic principles of Natural Language Processing (NLP)
Learn how to apply those principles to process social media data
Learn how to use the tidytext package to analyze social media data
Understand what a sentiment analysis is
Learn how to perform a sentiment analysis on Twitter data

Slides

r knitr::include_url("./R/2021-04-07/walkthrough-5.html")

Meeting Videos

Cohort 1

r knitr::include_url("https://www.youtube.com/embed/yt0PNLeo80o")

Meeting chat log

00:07:35    Layla Bouzoubaa:    Lol I love the office band, I have it too!!
00:07:58    Ronak Patel:    Always good for a chuckle at the start of a meeting!
00:32:49    Morgan Grovenburg:  If you haven't used `tidytext` before, I recommend Julia Silge's free learnr course: https://juliasilge.com/blog/learn-tidytext-learnr/
00:33:18    Alyssa Ibarra:  Thanks! Is it just using whitespace as delimiter?
00:33:40    shamsuddeen:    Also the book : https://www.tidytextmining.com
00:43:08    Mike Haugen:    Love the Tidy Text book. Julia Silge also has Supervised Machine Learning for Text Analysis in R: https://smltar.com/
01:02:30    Alyssa Ibarra:  Thank you!
01:03:46    shamsuddeen:    Good talk
01:04:35    Louis Carlo Medina: thank you!!