politenessModel {politeness}

Pre-Trained Politeness Classifier

Description

Pre-trained model to detect politeness based on data from Danescu-Niculescu-Mizil et al. (2013)

Usage

politenessModel(texts, num_mc_cores = 1)

Arguments

texts

character A vector of texts, each of which will be given a politeness score.

num_mc_cores

integer Number of cores for parallelization.

Details

This is a wrapper around a pre-trained model of "politeness" for all the data from the 2013 DNM et al paper. This model requires grammar parsing via SpaCy. Please see spacyr for details on installation.

Value

a vector with receptiveness scores

References

Danescu-Niculescu-Mizil, C., Sudhof, M., Jurafsky, D., Leskovec, J. & Potts, C. (2013). A computational approach to politeness with application to social factors. Proc. 51st ACL, 250-259.

Examples

## Not run: 
data("phone_offers")

politenessModel(phone_offers$message)


## End(Not run)