Directness and Intensity of Conflict Expression

A Natural Language Processing Model trained to detect directness and intensity during conflict. See < https://www.mikeyeomans.info>.


Beta version of the DICE-M natural language processing model. To install, run the following in R:

devtools::install_github("https://github.com/myeomans/DICEM")

To analyse your text, use the main function like so:

DICE(data$text)

The best model of intensity includes politeness features, which require SpaCy to be installed on your computer in advance. To access this model, try:

DICE(data$text, parser="spacy")

Reference manual

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install.packages("DICEM")

0.1.0 by Michael Yeomans, 2 years ago


Browse source code at https://github.com/cran/DICEM


Authors: Michael Yeomans [aut, cre]


Documentation:   PDF Manual  


MIT + file LICENSE license


Imports politeness, stringr, doc2concrete, vader, Matrix, quanteda, xgboost

Suggests knitr, spacyr, rmarkdown, testthat


See at CRAN