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

DSM_TermContextMatrix {wordspace} | R Documentation

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

### Description

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

### Usage

    DSM_TermContextMatrix

    DSM_TermContext

### Format

`DSM_TermContextMatrix` is a sparse numeric matrix of class `dgCMatrix` with 7 rows and 7 columns.

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

Columns specify the occurrence frequencies of these nouns in Wikipedia articles on Felidae, Pet, Feral, Boat, Philosohpy, Kant and Back Pain.

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

### See Also

This matrix/DSM describes the same target nouns as the term-term matrix `DSM_TermTermMatrix` and corresponding DSM object `DSM_TermTerm`.

### Examples

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

    all.equal(DSM_TermContextMatrix, head(DSM_TermContext, Inf))

    # M M' = symmetric matrix of co-occurrence frequencies of nouns within articles
    tcrossprod(DSM_TermContextMatrix)

[Package wordspace version 0.2-6 Index]