Text-as-Data eScience Special Interest Group


Text is a ubiquitous and valued data source in the computer and information sciences, many areas of the natural and social sciences, engineering, business and more. This eScience Special Interest Group is for students, faculty and researchers interested in sharing and learning about UW research and teaching that uses text as data. The group’s objectives include:


Spring Seminar and Discussion Group

The text-as-data discussion group is a forum for learning and and sharing information. The bi-weekly session is for discussing research and receiving feedback on text methods, data, discoveries, and tools.

Time: 1:00 pm on alternating Wednesdays, Spring Quarter 2019

Location: WRF Data Science Studio, Physics/Astronomy Tower, 6th Floor

Date Topic Organizer
April 3 A text reuse approach to studying behind the scenes lawmaking John Wilkerson (Political Science)
April 17 Building Training Sets and Classifiers: Racial Discourse on Twitter Ian Kennedy (Sociology)
May 1 An automated chatbot for surveying back-country visitors to National Parks, Forests, and Wilderness Areas Chris Haberland (Computational Linguistics)
May 15    
May 29 Visual Topic Modeling: A Clustering Technique for Drastically Reducing Image Annotation Tasks Kevin Aslett (Political Science)
June 12 A Timely Intervention: Tracking the Changing Meanings of Political Concepts with Word Vectors Emma Rodman (Political Science)

Moderated Listserv

Anyone interested in text-as-data at UW can sign-up to receive and share information about research and activities on campus from textasdata@u.washington.edu.


Spencer Wood, eScience Institute (spwood@uw.edu)

John Wilkerson, Department of Political Science (jwilker@uw.edu)

UW Text-as-data Listserv (textasdata@u.washington.edu)