embeddings_from_huggingface2

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

datasets

Transforms 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 Natural Language Processing and Machine
Learning

Salvatore Giorgi

Andrew Schwartz

embeddings_from_huggingface2 function

A list with word embeddings for harmony words for only contexts. BERT-base embeddings based on
mean aggregation of layer 1 and 2.<dl>
 <dt>tokens</dt>
<dd>words</dd> <dt>layer_number </dt>
<dd>layer of the transformer model</dd> <dt>Dim1:Dim768</dt>
<dd>Word embeddings dimensions</dd>
</dl>

Format

Word embeddings from textEmbedLayersOutput function — embeddings_from_huggingface2

A list with word embeddings for harmony words for only contexts. BERT-base embeddings based on
mean aggregation of layer 1 and 2.<dl>
 <dt>tokens</dt>
<dd>words</dd>

 <dt>layer_number </dt>
<dd>layer of the transformer model</dd>

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


</dl>

State of Data and AI Literacy Report 2025

embeddings_from_huggingface2: Word embeddings from textEmbedLayersOutput function

Description

Usage

Arguments

Format