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

DSM_SingularValues {wordspace} | R Documentation

## 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)

[Package wordspace version 0.2-6 Index]