Performs per-entity classification of references in the text as suspicious (S) or other-suspicious (OS) based on distrust verbs, harmful nominals, and contextual modifiers.
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 S and OS. When bootstrap = TRUE, columns
are meanS, varS, meanOS, varOS.