receptive_model

<p>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.</p>

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_model function

Format

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

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: 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.

Description

Usage

Arguments

Format