Term: Fall 2023
Working With: Siying Fu email@example.com
Topic: Computational Textual Analysis on the Sociological Research of Nationalism
In this project, we explore the key themes in the classic and recently influential sociological studies of nationalism with computational textual analytical techniques, especially LDA topic modelling. The undergraduate researchers will be responsible for data collection, processing the corpus into analysis-ready formats, making illustrative graphs based on the model result. The undergraduate researchers can also learn about the sociological literature on nationalism, if they are interested. The undergraduate researchers will be enrolled in SOC 320 for 2 or 3 credits based on workload.
Requirements: None. Skill in text process software and previous knowledge on nationalism is preferred.
To Apply: Interested student should send their DARS report (including classes taken in all previous semesters) to Siying Fu, firstname.lastname@example.org