This package provides tools to extract politeness markers in English natural language. It also allows researchers to easily visualize and quantify politeness between groups of documents. This package combines and extends prior research on the linguistic markers of politeness (Brown and Levinson, 1987; Danescu-Niculescu-Mizil et al., 2013; Voigt et al., 2017). We demonstrate two applications for detecting politeness in natural language during consequential social interactions— distributive negotiations, and speed dating.
Supplementary materials are available in addition to this article. It can be downloaded at RJ-2018-079.zip
tidytext, tm, quanteda, coreNLP, spacyR, SentimentAnalysis, syuzhet, topicmodeling, stm, glmnet, textir, hunspell, data.table, politeness
NaturalLanguageProcessing, HighPerformanceComputing, Finance, MachineLearning, Survival
Text and figures are licensed under Creative Commons Attribution CC BY 4.0. The figures that have been reused from other sources don't fall under this license and can be recognized by a note in their caption: "Figure from ...".
For attribution, please cite this work as
Yeomans, et al., "The R Journal: The politeness Package: Detecting Politeness in Natural Language", The R Journal, 2018
BibTeX citation
@article{RJ-2018-079,
author = {Yeomans, Michael and Kantor, Alejandro and Tingley, Dustin},
title = {The R Journal: The politeness Package: Detecting Politeness in Natural Language},
journal = {The R Journal},
year = {2018},
note = {https://doi.org/10.32614/RJ-2018-079},
doi = {10.32614/RJ-2018-079},
volume = {10},
issue = {2},
issn = {2073-4859},
pages = {489-502}
}