RLadies Presents: Twitter Analysis in R
Details
- Note - this is an R-Ladies Sydney Event. We welcome all attendees. We draw your attention to the R-Ladies Global guidelines and code of conduct (https://rladies.org/code-of-conduct/).*
Twitter is a microblogging site with 100 million active daily users who post 500 million tweets per day, creating a free and readily accessible dataset that can be analysed to ask questions from social science to consumer behaviour and beyond.
At this event, Dr Khandis Blake will walk through the process of extracting and analysing data from Twitter. After demonstrating how to extract tweets using the Twitter API, Khandis will explain how to geolocate tweets using string matches and collect assign gender to users. She will also go through the basics of parallel processing. Attendees will learn how to use parallel, streamR, twitteR, ROAuth, ndjson, stringr, and stringi.
This event is appropriate for R users at all levels of experience, and geared towards those who are beginners in terms of using R for Twitter data analysis. You do not need to have a Twitter account.
This event is appropriate for R users at all levels of experience, and geared towards those who are beginners in terms of using R for Twitter data analysis. You do not need to have a Twitter account.
Please arrive at 6pm for time to connect with other attendees before a 6:30 start.
-------------------------------------------------------------------------
It's not inherently a code-along workshop, but if you want to have a go with the R code that Khandis will share, you'll need to set up a few things ahead of time - and of course bring your laptop to the event!
-
Get a Twitter API account: https://towardsdatascience.com/access-data-from-twitter-api-using-r-and-or-python-b8ac342d3efe [do this sooner than later! our approval process took a while to come through, but that could have been because we indicated 'organisation use']
-
Set up an App: https://cran.r-project.org/web/packages/rtweet/vignettes/auth.html
With the tokens and authorization in place, you'll be able to grab data from twitter via your own account!