Week 07
Unsupervised Learning: Topic Models
Topics
-what if we do not have an outcome to predict? - can we cluster the text in groups? - what are topics? - how to decide between different topics?
Readings
Required Readings
[GMB] - Chapters 12-14.
David M. Blei . 2012. “Probabilistic Topic Models.” http://www.cs.columbia.edu/~blei/papers/ Blei2012.pdf
Applied Papers:
Motolinia, Lucia. Electoral accountability and particularistic legislation: evidence from an electoral reform in Mexico. American Political Science Review 115, no. 1 (2021): 97-113.
Barberá, P., Casas, A., Nagler, J., Egan, P. J., Bonneau, R., Jost, J. T., & Tucker, J. A. (2019). Who leads? Who follows? Measuring issue attention and agenda setting by legislators and the mass public using social media data. American Political Science Review, 113(4), 883-901.
Eshima, Shusei, Kosuke Imai, and Tomoya Sasaki. “Keyword‐Assisted Topic Models.” American Journal of Political Science (2020).
Coding Materials