matrix_similarity {sentiment.ai} | R Documentation |
Cosine Similarity
Description
Cosine Similarity
cosine_match()
Usage
cosine(x, y = NULL)
cosine_match(target, reference, keep_target_order = FALSE)
Arguments
x |
A numeric vector or matrix |
y |
A numeric vector or matrix of the same dimensions as x |
target |
numeric matrix of j values where each row is one observation. Use row names as ID. |
reference |
numeric matrix of j values where each row is one observation. Use row names as ID. |
keep_target_order |
logical include column indicating original row order of target matrix. |
Value
data.table containing ranked (1 = top) pairwise similarities between target and reference
Examples
## Not run:
n <- 5
y <- matrix(rnorm(n * 512), ncol = 512)
x <- matrix(rnorm(n * 512), ncol = 512)
all.equal(cosine(x, y),
text2vec::sim2(x, y))
## End(Not run)
[Package sentiment.ai version 0.1.1 Index]