Package: politeness 0.9.4
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:
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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
- 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
Last updated 2 months agofrom:a1e254a62a. Checks:1 OK, 8 NOTE. Indexed: yes.
| Target | Result | Latest binary |
|---|---|---|
| Doc / Vignettes | OK | Mar 12 2025 |
| R-4.5-win | NOTE | Mar 12 2025 |
| R-4.5-mac | NOTE | Mar 12 2025 |
| R-4.5-linux | NOTE | Mar 12 2025 |
| R-4.4-win | NOTE | Mar 12 2025 |
| R-4.4-mac | NOTE | Mar 12 2025 |
| R-4.4-linux | NOTE | Mar 12 2025 |
| R-4.3-win | NOTE | Mar 12 2025 |
| R-4.3-mac | NOTE | Mar 12 2025 |
Exports:exampleTextsfeaturePlotfindPoliteTextsmodelPlotpolitenesspolitenessDNMpolitenessModelpolitenessPlotpolitenessProjectionreceptivenesstrainModel
Dependencies:BHclicodetoolscolorspacedata.tabledistromdplyrfansifarverfastmatchforeachgamlrgenericsggplot2ggrepelglmnetgluegtablehereisobandISOcodesiteratorsjsonlitelabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmeNLPpillarpkgconfigpngquantedaR6rappdirsRColorBrewerRcppRcppEigenRcppTOMLreticulaterlangrprojrootscalesshapeslamSnowballCspacyrstopwordsstringistringrsurvivaltextirtibbletidyselecttmutf8vctrsviridisLitewithrxml2yaml
