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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
and Co-Presenter(s)
Christopher Conover
Kansas State University

Eleanor Sayre
Kansas State University