LSAfun (version 0.6.2)

pairwise: Pairwise cosine computation

Description

Computes pairwise cosine similarities

Usage

pairwise(x,y,tvectors=tvectors,breakdown=FALSE)

Arguments

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)

breakdown

if TRUE, the function breakdown is applied to the input

Value

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.

Details

Computes pairwise cosine similarities for two vectors of words. These vectors need to have the same length.

References

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.

http://lsa.colorado.edu/

See Also

cosine, Cosine, multicos,

Examples

# NOT RUN {
data(wonderland)
pairwise("mouse rabbit cat","king queen hearts",
          tvectors=wonderland)
# }