cosine_similarity: Cosine similarity/distance between two vectors.

In PsychWordVec: Word Embedding Research Framework for Psychological Science

Cosine similarity/distance between two vectors.

Description

Cosine similarity/distance between two vectors.

Usage

cosine_similarity(v1, v2, distance = FALSE)

cos_sim(v1, v2)

cos_dist(v1, v2)

Arguments

v1, v2	Numeric vector (of the same length).
distance	Compute cosine distance instead? Defaults to FALSE (cosine similarity).

Details

Cosine similarity =

sum(v1 * v2) / ( sqrt(sum(v1^2)) * sqrt(sum(v2^2)) )

Cosine distance =

1 - cosine_similarity(v1, v2)

Value

A value of cosine similarity/distance.

See Also

pair_similarity

tab_similarity

most_similar

Examples

cos_sim(v1=c(1,1,1), v2=c(2,2,2))  # 1
cos_sim(v1=c(1,4,1), v2=c(4,1,1))  # 0.5
cos_sim(v1=c(1,1,0), v2=c(0,0,1))  # 0

cos_dist(v1=c(1,1,1), v2=c(2,2,2))  # 0
cos_dist(v1=c(1,4,1), v2=c(4,1,1))  # 0.5
cos_dist(v1=c(1,1,0), v2=c(0,0,1))  # 1

PsychWordVec documentation built on April 4, 2025, 1:35 a.m.