pair_similarity

Compute a matrix of cosine similarity/distance of word pairs.

An integrative toolbox of word embedding research that provides:
(1) a collection of 'pre-trained' static word vectors in the '.RData'
compressed format <https://psychbruce.github.io/WordVector_RData.pdf>;
(2) a series of functions to process, analyze, and visualize word vectors;
(3) a range of tests to examine conceptual associations, including
the Word Embedding Association Test <doi:10.1126/science.aal4230>
and the Relative Norm Distance <doi:10.1073/pnas.1720347115>,
with permutation test of significance;
(4) a set of training methods to locally train (static) word vectors
from text corpora, including 'Word2Vec' <arXiv:1301.3781>,
'GloVe' <doi:10.3115/v1/D14-1162>, and 'FastText' <arXiv:1607.04606>;
(5) a group of functions to download 'pre-trained' language models
(e.g., 'GPT', 'BERT') and extract contextualized (dynamic) word vectors
(based on the R package 'text').

Han-Wu-Shuang Bao

PsychWordVec

Word Embedding Research Framework for Psychological Science

pair_similarity function

<dl><dt>data</dt>
<dd>A <code>wordvec</code> (data.table) or
<code>embed</code> (matrix),
see <code>data_wordvec_load</code>.</dd>
<dt>words</dt>
<dd>[Option 1] Character string(s).</dd>
<dt>pattern</dt>
<dd>[Option 2] Regular expression (see <code><a href="https://stringr.tidyverse.org/reference/str_subset.html">str_subset</a></code>).
If neither <code>words</code> nor <code>pattern</code> are specified (i.e., both are <code>NULL</code>),
then all words in the data will be extracted.</dd>
<dt>words1, words2</dt>
<dd>[Option 3]
Two sets of words for only n1 * n2 word pairs. See examples.</dd>
<dt>distance</dt>
<dd>Compute cosine distance instead?
Defaults to <code>FALSE</code> (cosine similarity).</dd></dl>

Arguments

Download pre-trained word vectors data (<code>.RData</code>):
<a href="https://psychbruce.github.io/WordVector_RData.pdf">https://psychbruce.github.io/WordVector_RData.pdf</a>

Download

Compute a matrix of cosine similarity/distance of word pairs. — pair_similarity

<dl>

<dt>data</dt>
<dd>A <code>wordvec</code> (data.table) or
<code>embed</code> (matrix),
see <code>data_wordvec_load</code>.</dd>


<dt>words</dt>
<dd>[Option 1] Character string(s).</dd>


<dt>pattern</dt>
<dd>[Option 2] Regular expression (see <code><a href='https://stringr.tidyverse.org/reference/str_subset.html'>str_subset</a></code>).
If neither <code>words</code> nor <code>pattern</code> are specified (i.e., both are <code>NULL</code>),
then all words in the data will be extracted.</dd>


<dt>words1, words2</dt>
<dd>[Option 3]
Two sets of words for only n1 * n2 word pairs. See examples.</dd>


<dt>distance</dt>
<dd>Compute cosine distance instead?
Defaults to <code>FALSE</code> (cosine similarity).</dd>

</dl>

Download pre-trained word vectors data (<code>.RData</code>):
<a href='https://psychbruce.github.io/WordVector_RData.pdf'>https://psychbruce.github.io/WordVector_RData.pdf</a>

pair_similarity: Compute a matrix of cosine similarity/distance of word pairs.

Description

Usage

Value

Arguments

Download

See Also

Examples