word_embeddings_4

The dataset is a shortened version of the data sets of Study 3-5
from Kjell, Kjell, Garcia and Sikström 2018.

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

word_embeddings_4 function

A list with word embeddings for harmony words, satisfaction words, harmony text,
satisfaction text and decontextualized word embeddings. BERT-base embeddings based on
mean aggregation of layer 11 and 12.<dl>
 <dt>words</dt>
<dd>words</dd> <dt>n</dt>
<dd>word frequency</dd> <dt>Dim1:Dim768</dt>
<dd>Word embeddings dimensions</dd>
</dl>

Format

Word embeddings for 4 text variables for 40 participants — word_embeddings_4

A list with word embeddings for harmony words, satisfaction words, harmony text,
satisfaction text and decontextualized word embeddings. BERT-base embeddings based on
mean aggregation of layer 11 and 12.<dl>
 <dt>words</dt>
<dd>words</dd>

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

 <dt>Dim1:Dim768</dt>
<dd>Word embeddings dimensions</dd>


</dl>

word_embeddings_4: Word embeddings for 4 text variables for 40 participants

Description

Usage

Arguments

Format