Package: politeness 0.9.3

politeness: Detecting Politeness Features in Text

Detecting markers of politeness in English natural language. This package allows researchers to easily visualize and quantify politeness between groups of documents. This package combines prior research on the linguistic markers of politeness. We thank the Spencer Foundation, the Hewlett Foundation, and Harvard's Institute for Quantitative Social Science for support.

Authors:Mike Yeomans, Alejandro Kantor, Dustin Tingley

politeness_0.9.3.tar.gz
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politeness_0.9.3.tgz(r-4.4-any)politeness_0.9.3.tgz(r-4.3-any)
politeness_0.9.3.tar.gz(r-4.5-noble)politeness_0.9.3.tar.gz(r-4.4-noble)
politeness_0.9.3.tgz(r-4.4-emscripten)politeness_0.9.3.tgz(r-4.3-emscripten)
politeness.pdf |politeness.html✨
politeness/json (API)

# Install 'politeness' in R:

install.packages('politeness', repos = c('https://myeomans.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/myeomans/politeness/issues

Datasets:

bowl_offers - Purchase offers for bowl
feature_table - Table of Politeness Features
phone_offers - #' Positive Emotions List #' #' Positive words. #' #' @format A list of 2006 positively-valenced words #' "positive_list"
polite_train - Pre-Trained Politeness
receptive_model - A pre-trained model for detecting conversational receptiveness. Estimated with glmnet using annotated data from a previous paper. Primarily for use within the receptiveness() function.
receptive_names - This is the list of variables to be extracted for the receptiveness algorithm For internal use only, within the receptiveness() function.
receptive_polite - Pre-Trained Receptiveness Data
receptive_train - Pre-Trained Receptiveness Data
uk2us - UK to US Conversion dictionary

On CRAN:

7 exports 25 stars 2.79 score 61 dependencies 2 dependents 37 scripts 702 downloads

Last updated 8 months agofrom:58393ce52c. Checks:OK: 1 NOTE: 6. Indexed: yes.

Target	Result	Date
Doc / Vignettes	OK	Sep 14 2024
R-4.5-win	NOTE	Sep 14 2024
R-4.5-linux	NOTE	Sep 14 2024
R-4.4-win	NOTE	Sep 14 2024
R-4.4-mac	NOTE	Sep 14 2024
R-4.3-win	NOTE	Sep 14 2024
R-4.3-mac	NOTE	Sep 14 2024

Exports:findPoliteTexts politeness politenessDNM politenessModel politenessPlot politenessProjection receptiveness

Dependencies:BH cli codetools colorspace data.table distrom fansi farver fastmatch foreach gamlr ggplot2 glmnet glue gtable here isoband ISOcodes iterators jsonlite labeling lattice lifecycle magrittr MASS Matrix mgcv munsell nlme NLP pillar pkgconfig png quanteda R6 rappdirs RColorBrewer Rcpp RcppEigen RcppTOML reticulate rlang rprojroot scales shape slam SnowballC spacyr stopwords stringi stringr survival textir tibble tm utf8 vctrs viridisLite withr xml2 yaml

Politeness

Rendered frompoliteness.Rmdusingknitr::rmarkdownon Sep 14 2024.

Last update: 2023-10-10
Started: 2017-09-06

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Purchase offers for bowl	bowl_offers
Table of Politeness Features	feature_table
Find polite text	findPoliteTexts
#' Positive Emotions List #' #' Positive words. #' #' @format A list of 2006 positively-valenced words #' "positive_list"	phone_offers
Pre-Trained Politeness	polite_train
Politeness Features	politeness
Politeness Features	politenessDNM
Pre-Trained Politeness Classifier	politenessModel
Politeness plot	politenessPlot
Politeness projection	politenessProjection
A pre-trained model for detecting conversational receptiveness. Estimated with glmnet using annotated data from a previous paper. Primarily for use within the receptiveness() function.	receptive_model
This is the list of variables to be extracted for the receptiveness algorithm For internal use only, within the receptiveness() function.	receptive_names
Pre-Trained Receptiveness Data	receptive_polite
Pre-Trained Receptiveness Data	receptive_train
Conversational Receptiveness	receptiveness
UK to US Conversion dictionary	uk2us