Text-as-Data
Materials for class on Monday, March 18, 2019
Contents
Tweet of the day
Text mining: I really like the tidytext book by ??? and ???: https://t.co/zgoHq5jr5v. And I'm increasingly convinced the single best and most comprehensive resource is ???'s quanteda: https://t.co/aVc3N4BCA5. It's tutorials are esp great: https://t.co/XB5km9OAZm
— Mike Kearney📊 (@kearneymw) May 3, 2018
Mike Kearney is an assistant professor of Journalism at the University of Missouri and the author of the rtweet package to pull Twitter data in RStudio.
Slides:
Julia Silge and David Robinson, “Tidy Text Mining”
Ken Benoit and the Quanteda Institute, “quanteda: Quantitative Analysis of Textual Data”
University of Koblanz, “Workshop on Topic modeling”
Matthew Gentzkow, Bryan T. Kelly, and Matt Taddy, “Text-as-Data”
Lab
RStudio Cloud project for sample Shiny apps