R: Example of a Term-Term Co-occurrence Matrix (wordspace)

DSM_TermTermMatrix {wordspace} | R Documentation

## Example of a Term-Term Co-occurrence Matrix (wordspace)

### Description

This matrix is a typical example of a term-term DSM co-occurrence matrix, derived from the English Wikipedia. It is available as a plain matrix in dense representation, and as a DSM object including marginal frequency data.

### Usage

    DSM_TermTermMatrix

    DSM_TermTerm

### Format

`DSM_TermTermMatrix` is a numeric matrix with 7 rows and 7 columns.

Rows represent the target nouns cat, dog, animal, time, reason, cause, effect.

Columns specify co-occurrence frequencies of these nouns with the words breed, tail, feed, kill, important, explain and likely in articles of the English Wikipedia. Co-occurring words must appear within a distance of at most two word tokens of each other.

`DSM_TermTerm` is an object of class `dsm` based on the same co-occurrence matrix, but with additional information on marginal frequencies of the target and feature terms.

### See Also

This matrix/DSM describes the same target terms as the term-context matrix `DSM_TermContextMatrix` and corresponding DSM object `DSM_TermContext`.

### Examples

    DSM_TermTermMatrix["time", ] # row vector for target noun "time"

    all.equal(DSM_TermTermMatrix, head(DSM_TermTerm, Inf))

    ## Not run:
    plot(hclust(dist.matrix(DSM_TermTermMatrix, as.dist=TRUE)))

    ## End(Not run)

[Package wordspace version 0.2-6 Index]