quanteda.textmodels (version 0.9.9)

data_corpus_dailnoconf1991: Confidence debate from 1991 Irish Parliament

Description

Texts of speeches from a no-confidence motion debated in the Irish Dáil from 16-18 October 1991 over the future of the Fianna Fail-Progressive Democrat coalition. (See Laver and Benoit 2002 for details.)

Usage

data_corpus_dailnoconf1991

Format

data_corpus_dailnoconf1991 is a corpus with 58 texts, including docvars for name, party, and position.

References

Laver, M. & Benoit, K.R. (2002). Locating TDs in Policy Spaces: Wordscoring Dáil Speeches. Irish Political Studies, 17(1), 59--73.

Laver, M., Benoit, K.R., & Garry, J. (2003). Estimating Policy Positions from Political Text using Words as Data. American Political Science Review, 97(2), 311--331.

Examples

if (FALSE) {
library("quanteda")
data_dfm_dailnoconf1991 <- data_corpus_dailnoconf1991 %>%
    tokens(remove_punct = TRUE) %>%
    dfm()
tmod <- textmodel_affinity(data_dfm_dailnoconf1991,
                           c("Govt", "Opp", "Opp", rep(NA, 55)))
(pred <- predict(tmod))
dat <-
    data.frame(party = as.character(docvars(data_corpus_dailnoconf1991, "party")),
               govt = coef(pred)[, "Govt"],
               position = as.character(docvars(data_corpus_dailnoconf1991, "position")))
bymedian <- with(dat, reorder(paste(party, position), govt, median))
oldpar <- par(no.readonly = TRUE)
par(mar = c(5, 6, 4, 2) + .1)
boxplot(govt ~ bymedian, data = dat,
        horizontal = TRUE, las = 1,
        xlab = "Degree of support for government",
        ylab = "")
abline(h = 7.5, col = "red", lty = "dashed")
text(c(0.9, 0.9), c(8.5, 6.5), c("Goverment", "Opposition"))
par(oldpar)
}