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

In PsychWordVec: Word Embedding Research Framework for Psychological Science

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

Description

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

Usage

pair_similarity(
  data,
  words = NULL,
  pattern = NULL,
  words1 = NULL,
  words2 = NULL,
  distance = FALSE
)

Arguments

data	A wordvec (data.table) or embed (matrix), see data_wordvec_load().
words	[Option 1] Character string(s).
pattern	[Option 2] Regular expression. If words and pattern are not specified, all words in the data will be extracted.
words1, words2	[Option 3] Two sets of words for only n1 * n2 word pairs. See examples.
distance	Compute cosine distance instead? Defaults to FALSE (cosine similarity).

Value

A matrix of pairwise cosine similarity/distance.

Download

Download pre-trained word vectors data (.RData): https://psychbruce.github.io/WordVector_RData.pdf

See Also

cosine_similarity()

plot_similarity()

tab_similarity()

most_similar()

Examples

pair_similarity(demodata, c("China", "Chinese"))

pair_similarity(demodata, pattern="^Chi")

pair_similarity(demodata,
                words1=c("China", "Chinese"),
                words2=c("Japan", "Japanese"))

PsychWordVec documentation built on Aug. 21, 2025, 5:53 p.m.