pronoun_type: Count Object/Subject Pronouns Per Grouping Variable

In trinker/qdap: Bridging the Gap Between Qualitative Data and Quantitative Analysis

Description

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

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

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 ")

Value

Returns a list, of class "pronoun_type", of data frames regarding subject/object pronoun word counts:

preprocessed	List of uncollapsed dataframes (raw, prop, rnp) of the class "termco" that contain all searchable subject/object pronouns.
raw	raw word counts by grouping variable
prop	proportional word counts by grouping variable; proportional to each individual's subject/object pronoun use
rnp	a character combination data frame of raw and proportional subject/object pronoun use

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

See Also

object_pronoun_type, subject_pronoun_type

Examples

## Not run: 
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)

## End(Not run)

trinker/qdap documentation built on Sept. 30, 2020, 6:28 p.m.