receptive_train

A dataset to train a model for detecting conversational receptiveness.

datasets

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.

Mike Yeomans

politeness

Detecting Politeness Features in Text

Alejandro Kantor

Dustin Tingley

receptive_train function

A data frame with 2860 rows and 2 variables:<dl>
 <dt>text</dt>
<dd>character written response about policy disagreement</dd> <dt>receptive</dt>
<dd>numeric standardized average of annotator ratings for "receptiveness"</dd>
</dl>Primarily for use within the receptiveness() function. The data was compiled from
Studies 1 and 4 of the original paper, as well as an unpublished study with a
very similar design, in which text responses were rated by disagreeing others.

Format

Pre-Trained Receptiveness Data — receptive_train

A data frame with 2860 rows and 2 variables:<dl>
 <dt>text</dt>
<dd>character written response about policy disagreement</dd>

 <dt>receptive</dt>
<dd>numeric standardized average of annotator ratings for "receptiveness"</dd>


</dl>Primarily for use within the receptiveness() function. The data was compiled from
Studies 1 and 4 of the original paper, as well as an unpublished study with a
very similar design, in which text responses were rated by disagreeing others.

receptive_train: Pre-Trained Receptiveness Data

Description

Usage

Arguments

Format