DSM_SingularValues: Typical Singular Values of a Term-Context Matrix (wordspace)

In wordspace: Distributional Semantic Models in R

Typical Singular Values of a Term-Context Matrix (wordspace)

Description

Typical singular values of a term-document matrix based on encyclopedia articles.

Usage

  
DSM_SingularValues

Format

A numeric vector of length 2623.

Details

The data were obtained by singular value decomposition of a term-document matrix representing 100,000 Wikipedia articles, with 2623 target terms from a Basic English vocabulary. Articles were truncated to the first ca. 500 words. Occurrence frequencies of the target terms were log-scaled and rows of the matrix were L2-normalized before applying the SVD.

Examples

## Not run: 
plot(DSM_SingularValues, type="h", xaxs="i", yaxs="i")

## End(Not run)

wordspace documentation built on Aug. 23, 2022, 1:06 a.m.