pairwise | R Documentation |
Computes pairwise cosine similarities
pairwise(x,y,tvectors=tvectors)
x |
a character vector |
y |
a character vector |
tvectors |
the semantic space in which the computation is to be done (a numeric matrix where every row is a word vector) |
Computes pairwise cosine similarities for two vectors of words. These vectors need to have the same length.
A vector of the same length as x
and y
containing the pairwise cosine similarities. Returns NA
if at least one word in a pair is not found in the semantic space.
Fritz Guenther
Landauer, T.K., & Dumais, S.T. (1997). A solution to Plato's problem: The Latent Semantic Analysis theory of acquisition, induction and representation of knowledge. Psychological Review, 104, 211-240.
Dennis, S. (2007). How to use the LSA Web Site. In T. K. Landauer, D. S. McNamara, S. Dennis, & W. Kintsch (Eds.), Handbook of Latent Semantic Analysis (pp. 35-56). Mahwah, NJ: Erlbaum.
cosine
,
Cosine
,
multicos
,
data(wonderland)
pairwise("mouse rabbit cat","king queen hearts",
tvectors=wonderland)
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.