Introduction to Quantitative Text Analysis

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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. https://web.stanford.edu/∼gentzkow/research/text-as-data.pdf
• Elliott Ash and Stephen Hansen. 2023. “Text Algorithms in Economics.” Annual Review of Economics 15:659–688. https://doi.org/10.1146/annurev-economics-082222-074352
• 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