Introduction to Quantitative Text Analysis
Lecture Slides Lecture Slides (pdf) Lecture Slides (ipynb)
Tutorial Exercise Tutorial Exercise (pdf) Tutorial Exercise (ipynb)
In the first week we start by looking at text as another form of data and the general principles of its large-scale analysis.
Required Readings
- Grimmer, Justin, and Brandon M Stewart. 2013. “Text as Data: The Promise and Pitfalls of Automatic Content Analysis Methods for Political Texts.” Political Analysis 21 (3): 267–97. https://doi.org/10.1093/pan/mps028
- Wilkerson, John D., and Andreu Casas. 2017. “Large-Scale Computerized Text Analysis in Political Science: Opportunities and Challenges.” Annual Review of Political Science 20:529–44. https://doi.org/10.1146/annurev-polisci-052615-025542
Additional Readings
- Grimmer, Roberts & Stewart Chs 1 Introduction, 2 Social Science Research and Text Analysis.
- Matthew Gentzkow, Bryan Kelly, and Matt Taddy. 2019. “Text as Data.” Journal of Economic Literature 57 (3): 535–7. 4. https://web.stanford.edu/∼gentzkow/research/text-as-data.pdf
- Kristoffer L. Nielbo et al. 2024. “Quantitative text analysis.” Nature Reviews Methods Primers 4 (1): 25. https://doi.org/10.1038/s43586-024-00302-w
Tutorial
- Webscraping
Assignment 1 (Blackboard)
- Text collection and preprocessing.
- Due at 15:59 on Wednesday, 26th March (submission on Blackboard);
- Rename the file from
01_assignment.ipynbto01_lastname_firstname_studentnumber.ipynbbefore submission.