PERC 2019 Abstract Detail Page
Previous Page | New Search | Browse All
| Abstract Title: | Topic Clustering in PER Abstracts using Computational Linguistics |
|---|---|
| Abstract: | Since the early 2000's, there have been over 27,000 abstracts submitted to AAPT national conferences and PERC, and sorting abstracts into sessions by hand for each National Meeting has become difficult. We use computational linguistics methods to cluster abstracts by topic. We investigate which topics are interesting to PERers over time, as shown in their abstracts, and track changes to the community and its membership. In this poster, we present major clusters and their changes over time for both AAPT and PERC abstracts. We suggest how these methods can be used to sort papers for future AAPT conferences, alleviating some of the strain on human paper sorters. |
| Abstract Type: | Contributed Poster Presentation |
| Session Time: | Poster Session I |
| Poster Number: | A39 |
Author/Organizer Information | |
| Primary Contact: |
Aurora J Meyer Kansas State University 116 Cardwell Hall 1228 N 17th St Manhattan, KS 66506 Phone: 7853135039 |
| Co-Author(s) and Co-Presenter(s) |
Christopher Conover Kansas State University Eleanor Sayre Kansas State University |
