Kevin Aslett (Political Science) will lead a discussion on “Tracking the Changing Meanings of Political Concepts with Word Vectors” at the next Text-as-Data Special Interest Group meeting.
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:
- Promote connections, conversations and collaborations among domains with text-as-data interests on the UW campus
- Provide a forum for sharing research and receiving feedback
- Learn about new research advances, data, and funding opportunities
- Provide a forum discussing teaching resources and pedagogy
- Discuss methods and software tools for processing and understanding text as data
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: TBD, Spring Quarter 2019 Location: WRF Data Science Studio, Physics/Astronomy Tower, 6th Floor Please contact Spencer Wood (email@example.com) if you are interested in presenting on research or teaching during the discussion-group this Spring. The date and time will be determined based on availability of interested participants.
Moderated list serve
Anyone interested in text-as-data at UW can sign-up to receive and share information about research and activities on campus from firstname.lastname@example.org.
Spencer Wood (eScience Institute)
John Wilkerson (Department of Political Science)