politeness (version 0.9.4)

receptiveness: Conversational Receptiveness

Description

Pre-trained model to detect conversational receptiveness

Usage

receptiveness(texts, num_mc_cores = 1)

Value

a vector with receptiveness scores.

Arguments

texts

character A vector of texts, each of which will be tallied for politeness features.

num_mc_cores

integer Number of cores for parallelization.

Details

This is a wrapper around a pre-trained model of "conversational receptiveness". The model trained from Study 1 of that paper can be applied to new text with a single function. This model requires grammar parsing via SpaCy. Please see spacyr for details on installation.

References

Yeomans, M., Minson, J., Collins, H., Chen, F. & Gino, F. (2020). Conversational Receptiveness: Improving Engagement with Opposing Views. OBHDP.

Examples

if (FALSE) {
data("phone_offers")

receptiveness(phone_offers$message)

}