feedback_dat

A dataset containing responses from people on Mechanical Turk, writing
feedback to a recent collaborator, that were then scored by other Turkers
for feedback specificity.

datasets

Models for detecting concreteness in natural language. This package is built in support of Yeomans (2021) <doi:10.1016/j.obhdp.2020.10.008>, which reviews linguistic models of concreteness in several domains. Here, we provide an implementation of the best-performing domain-general model (from Brysbaert et al., (2014) <doi:10.3758/s13428-013-0403-5>) as well as two pre-trained models for the feedback and plan-making domains.

Mike Yeomans

doc2concrete

Measuring Concreteness in Natural Language

feedback_dat function

A data frame with 171 rows and 2 variables:<dl class="dl-horizontal">
 <dt>feedback</dt><dd>character text of feedback from writers</dd>
 <dt>concrete</dt><dd>numeric average specificity score from readers</dd>
</dl>

Format

Personal Feedback Dataset — feedback_dat

A data frame with 171 rows and 2 variables:<dl class='dl-horizontal'>
 <dt>feedback</dt><dd>character text of feedback from writers</dd>
 <dt>concrete</dt><dd>numeric average specificity score from readers</dd>
</dl>

feedback_dat: Personal Feedback Dataset

Description

Usage

Arguments

Format