Classifies verbs associated with first-person subjects as instrumental-control (IC) or other-control (OC) using dependency parsing to link subjects to their governing verbs.
Arguments
- own_entity
A character vector of entity names representing the speaker's own country or group.
- text
A character string containing the speech text to analyse.
- bootstrap
Logical; if
TRUE, return bootstrapped mean and variance estimates. Default isFALSE.- B
Integer; number of bootstrap replicates. Default is 1000.
Value
A one-row tibble. When bootstrap = FALSE,
columns are IC and OC. When bootstrap = TRUE, columns
are meanIC, meanOC, varIC, varOC.
