Title
Topic Clustering Of Physics Education Research Abstracts Using Computational Linguistics
Student Major/Year in School
Mechanical Engineering, First Year
Faculty Mentor Information
Eleanor C. Sayre, Arts and Sciences, Physics
Abstract
Since the mid 1990s, there have been over 26,000 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 talk, 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.
Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial 4.0 License
Recommended Citation
Meyer, Aurora (2019). "Topic Clustering Of Physics Education Research Abstracts Using Computational Linguistics," Kansas State University Undergraduate Research Conference.
Topic Clustering Of Physics Education Research Abstracts Using Computational Linguistics
Since the mid 1990s, there have been over 26,000 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 talk, 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.
