receptiveness: Conversational Receptiveness

View source: R/receptiveness.R

receptivenessR Documentation

Conversational Receptiveness

Description

Pre-trained model to detect conversational receptiveness

Usage

receptiveness(texts, num_mc_cores = 1)

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.

Value

a vector with receptiveness scores

References

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

Examples



## Not run: 
data("phone_offers")

receptiveness(phone_offers$message)


## End(Not run)


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