Analyzing Text Data with DiscoverText

Join us for a Text Data Analysis workshop on Friday, March 7, from 1:00 – 3:00 PM.

Participants should bring a laptop. No prior programming or statistical experience is necessary.

In this hands-on workshop led by founder Stuart Shulman, participants will learn to use DiscoverText, a multilingual-capable web-based platform for categorizing text data. DiscoverText runs through a graphical user interface, so no statistical or software programming (e.g., R, Python) is required. The workshop will teach participants how to use DiscoverText to label data to build custom machine classifiers from large scale survey responses, RSS feeds, Twitter/X, or any other digitized text and metadata. We will draw examples of Twitter/X datasets from tweets relevant to Canada on immigration, MCGA (Make Canada Great Again), and other timely topics.

DiscoverText is free for academics—come see how it can support your research!

Schedule

1:00 – 2:30 PM | Workshop
2:30 – 3:00 PM | Individual consultations possible

Dr. Stuart Shulman holds a PhD in American politics and is a methodologist with more than 30 years of experience sorting words in categories. He has worked as a political science professor, entrepreneur, CEO of Texifter, inventor of DiscoverText, retired U.S. Soccer National C licensed coach, and a Taoist garlic grower. He serves on the International Advisory Board of the Migrant Integration in the Mid-21st Century: Bridging Divides research initiative, of which CMS is a member.