dictWrap: Dictionary Wrapper

In politeness: Detecting Politeness Features in Text

Dictionary Wrapper

Description

background function to load

Usage

dictWrap(text, dict = NULL, binary = FALSE, num_mc_cores = 1, ...)

Arguments

text	a character vector of texts.
dict	a dictionary class object (see dictionary) containing dictionaries for six of the politeness features
binary	return the prevalence (percent of words) or the presence (yes/no) of a feature in each text?
num_mc_cores	integer Number of cores for parallelization. Default is 1.
...	arguments passes onto the quanteda:dfm function

Value

a matrix with six columns (one for each feature) and a row for every text entered into the function.

politeness documentation built on Nov. 12, 2023, 5:06 p.m.