PC_projections_satisfactionwords_40

The dataset is a shortened version of the data sets of Study 1
from Kjell, et al., 2016.

datasets

Link R with Transformers from Hugging Face to transform text variables to word embeddings; where the word embeddings are used to statistically test the mean difference between set of texts, compute semantic similarity scores between texts, predict numerical variables, and visual statistically significant words according to various dimensions etc. For more information see <https://www.r-text.org>.

Oscar Kjell

text

Analyses of Text using Transformers Models from HuggingFace,
Natural Language Processing and Machine Learning

Salvatore Giorgi

Andrew Schwartz

PC_projections_satisfactionwords_40 function

A data frame.<dl>
 <dt>words</dt>
<dd>unique words</dd> <dt>n</dt>
<dd>overall word frequency</dd> <dt>Dim_PC1</dt>
<dd>Principle component value for dimension 1</dd> <dt>Dim_PC2</dt>
<dd>Principle component value for dimension 2</dd>
</dl>

Format

Example data for plotting a Principle Component Projection Plot. — PC_projections_satisfactionwords_40

A data frame.<dl>
 <dt>words</dt>
<dd>unique words</dd>

 <dt>n</dt>
<dd>overall word frequency</dd>

 <dt>Dim_PC1</dt>
<dd>Principle component value for dimension 1</dd>

 <dt>Dim_PC2</dt>
<dd>Principle component value for dimension 2</dd>


</dl>

PC_projections_satisfactionwords_40: Example data for plotting a Principle Component Projection Plot.

Description

Usage

Arguments

Format