Daniel Hopkins and Gary King
The ReadMe software package for R takes as input a set of text documents (such as speeches, blog posts, newspaper articles, judicial opinions, movie reviews, etc.), a categorization scheme chosen by the user (e.g., ordered positive to negative sentiment ratings, unordered policy topics, or any other mutually exclusive and exhaustive set of categories), and a small subset of text documents hand classified into the given categories. If used properly, ReadMe will report, within sampling error of the truth, the proportion of documents within each of the given categories among those not hand coded. ReadMe computes the distribution within categories without the more error prone intermediate step of classifying individual documents. Various other procedures are included to make processing text easy. See Daniel Hopkins and Gary King, "A Method of Automated Nonparametric Content Analysis for Social Science," American Journal of Political Science, http://gking.harvard.edu/files/abs/words-abs.shtml
More documentation can be found at: http://gking.harvard.edu/files/gking/files/readme.pdf
A related software package can be found at https://github.com/iqss-research/readme-software
library(ReadMe)
oldwd <- getwd()
setwd(system.file("demofiles/clintonposts",
package = "ReadMe"))
undergrad.results <- undergrad(sep = ',')
undergrad.preprocess <- preprocess(undergrad.results)
readme.results <- readme(undergrad.preprocess)
setwd(oldwd)
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 United States License.
