Scraping and Visualising Twitter Data with Anna Henschel
Details
In this short, hands-on workshop we are going to scrape and visualize our own Twitter data by understanding the basics of text wrangling and by taking advantage of the amazing {tidytext} and {rtweet} packages. By the end of the workshop, you will be able to see if you tweet mostly positive or negative content, and you will be able to plot the most frequent words in a wordcloud. Don't worry if you do not have your own Twitter account - there will be an alternative provided.
Anna Henschel is a third year PhD candidate at the University of Glasgow, where she conducts research in the Social Brain in Action Lab on the ERC-funded Social Robots project. She has a B.Sc. in Psychology from Konstanz University and a M.Sc. cum laude from the Vrije Universiteit Amsterdam in Cognitive Neuropsychology. Her feminist activism and work as a STEM ambassador was recently honoured with the YWCA 30 Under 30 Inspirational Women Scotland award. She uses R in her PhD and also just for fun.
You can find her on Twitter (@AnnaHenschel) and check out the workshop Twitter account (@beautiful_hack).