Laura Nelson’s research on text

Laura’s been a great expositor of text analysis methods here in the D-Lab (and beyond). This week, we’ll look at a pair of papers by Grimmer and colleagues:

Required:

Grimmer, J., & Stewart, B. M. (2013). Text as Data: The Promise and Pitfalls of Automatic Content Analysis Methods for Political Texts. Political Analysis, 21(3), 267–297. doi:10.1093/pan/mps028

Supplemental:

Grimmer, Justin, & King, G. (2011). General purpose computer-assisted clustering and conceptualization. Proceedings of the National Academy of Sciences, 108(7), 2643–2650. doi:10.1073/pnas.1018067108

The future isn’t entirely clear. We may have at least one more meeting over the summer where Leora gives us a brief intro to survey methods. I (Dav) would like to shift gears towards organizing the material we’ve covered into a bit more of a curriculum. But in any case come prepared to think about the summer!