I’m really fascinated with how natural language processing can help us as qualitative researchers in our process of making sense of our data. In particular I am trying to design flexible ways of visualizing, reflecting on, and coding language in video data. If you want to see what I’m working on, you can check out my GitHub repository (warning: it is a total mess, so enter at your own risk).
- Baglini, R. & Hjorth, A. (2017). “Automated classification of ideophonic sound patterns in Wolof. Oral presentation (paper) at the 48th Annual Conference on African Linguistics.
- Hjorth, A., & Wilensky, U. (2016). From Individual Claims to Explanations: Using Association Rule Mining to Identify Shifts in Students’ Assembly of Explanations of Social Phenomena. Poster presented at the International Conference of the Learning Sciences 2016, Singapore.
- Roundtable at AERA 2015