Thu, July 23, 2020 10:00 AM - Thu, July 23, 2020 11:00 AM at Zoom
How can social scientists leverage the recent explosion of textual data to learn about this social world? This workshop will provide an introduction to a variety of quantitative methods, including dictionaries, topic modeling, and machine learning, that can be used for sentiment analysis and document exploration. Applications to multiple topics will be discussed. This workshop builds on Cleaning Messy Text Using R: How to Get Your Data Ready for Analysis to demonstrate a working research pipeline for textual data.
Participants should have a working knowledge of R (functions, loops, etc.) and understand basic statistics and research design.