qdap 2.2.0

Count Object/Subject Pronouns Per Grouping Variable

Usage

pronoun_type(text.var, grouping.var = NULL, pronoun.list = NULL, ...)

Arguments

text.var
The text variable
grouping.var
The grouping variables. Default NULL generates one word list for all text. Also takes a single grouping variable or a list of 1 or more grouping variables.
pronoun.list
A named list of subject/object pronouns. See Details for more.
...
Other arguments passed to termco

Count Object/Subject Pronouns Per Grouping Variable

Value

Returns a list, of class "pronoun_type", of data frames regarding subject/object pronoun word counts: preprocessedList of uncollapsed dataframes (raw, prop, rnp) of the class "termco" that contain all searchable subject/object pronouns. rawraw word counts by grouping variable propproportional word counts by grouping variable; proportional to each individual's subject/object pronoun use rnpa character combination data frame of raw and proportional subject/object pronoun use

Description

Count the number of subject/object pronouns per grouping variables.

Details

The following subject/object pronoun categories are the default searched terms:

  • I = c(" i'd ", " i'll ", " i'm ", " i've ", " i ")
  • we = c(" we'd ", " we'll ", " we're ", " we've ", " we ")
  • you = c(" you'd ", " you'll ", " you're ", " you've ", " you ", " your ")
  • he = c(" he'd ", " he'll ", " he's ", " he ")
  • she = c(" she'd ", " she'll ", " she's ", " she ")
  • they = c(" they'd ", " they'll ", " they're ", "they've ", " they ")
  • it = c(" it'd ", " it'll ", " it's ", " it ")
  • me = c(" me ", " my ", " mine ")
  • us = c(" us ", " our ", " ours ")
  • him = c(" him ", " his ")
  • her = c(" her ", " hers ")
  • them = c(" them ")
  • their = c(" their ", "theirs ")

References

Fairclough, N. (1989). Language and power. London: Longman.

Fairclough, N. (2003). Analysing discourse: Textual analysis for social research. Oxford and New York: Routledge.

Okamura, A. (2009). Use of personal pronouns in two types of monologic academic speech. The Economic Journal of Takasaki City University of Economics, 52(1). 17-26.

Us and them: Social categorization and the process of intergroup bias. Perdue, C. W., Dovidio, J. F., Gurtman, M. B., & Tyler, R. B. (1990). Journal of Personality and Social Psychology, 59(3), 475-486. doi: 10.1037/0022-3514.59.3.475

Examples

## <strong>Not run</strong>: 
# dat <- pres_debates2012
# dat <- dat[dat$person %in% qcv(ROMNEY, OBAMA), ]
# (out <- pronoun_type(dat$dialogue, dat$person))
# plot(out)
# plot(out, 2)
# plot(out, 3)
# plot(out, 3, ncol=2)
# 
# scores(out)
# counts(out)
# proportions(out)
# preprocessed(out)
# 
# plot(scores(out))
# plot(counts(out))
# plot(proportions(out))
# 
# (out2 <- pronoun_type(hamlet$dialogue, hamlet$person))
# plot(out2, 3, ncol=7)
# ## <strong>End(Not run)</strong>

See also

object_pronoun_type, subject_pronoun_type