dictionary_meta: Assess Dictionary Categories Within a Latent Semantic Space
In lingmatch: Linguistic Matching and Accommodation

dictionary_meta

R Documentation

Assess Dictionary Categories Within a Latent Semantic Space

Description

Assess Dictionary Categories Within a Latent Semantic Space

Usage

dictionary_meta(dict, space = "auto", n_spaces = 5, suggest = FALSE,
  suggestion_terms = 10, suggest_stopwords = FALSE,
  suggest_discriminate = TRUE, expand_cutoff_freq = 0.98,
  expand_cutoff_spaces = 10, dimension_prop = 1, pairwise = TRUE,
  glob = TRUE, space_dir = getOption("lingmatch.lspace.dir"),
  verbose = TRUE)

Arguments

`dict`	A vector of terms, list of such vectors, or a matrix-like object to be categorized by `read.dic`.
`space`	A vector space used to calculate similarities between terms. Names of spaces (see `select.lspace`), a matrix with terms as row names, or `"auto"` to auto-select a space based on matched terms. This can also be `multi` to use multiple spaces, which are combined after similarities are calculated.
`n_spaces`	Number of spaces to draw from if `space` is `multi`.
`suggest`	Logical; if `TRUE`, will search for other terms for possible inclusion in `space`.
`suggestion_terms`	Number of terms to use when selecting suggested additions.
`suggest_stopwords`	Logical; if `TRUE`, will suggest function words.
`suggest_discriminate`	Logical; if `TRUE`, will adjust for similarity to other categories when finding suggestions.
`expand_cutoff_freq`	Proportion of mapped terms to include when expanding dictionary terms. Applies when `space` is a character (referring to a space to be loaded).
`expand_cutoff_spaces`	Number of spaces in which a term has to appear to be considered for expansion. Applies when `space` is a character (referring to a space to be loaded).
`dimension_prop`	Proportion of dimensions to use when searching for suggested additions, where less than 1 will calculate similarities to the category core using fewer dimensions of the space.
`pairwise`	Logical; if `FALSE`, will compare candidate suggestion terms with a single, averaged category vector rather than all category terms separately.
`glob`	Logical; if `TRUE`, converts globs (asterisk wildcards) to regular expressions.
`space_dir`	Directory from which `space` should be loaded.
`verbose`	Logical; if `FALSE`, will not show status messages.

Value

A list:

expanded: A version of dict with fuzzy terms expanded.
summary: A summary of each dictionary category.
terms: Match (expanded term) similarities within terms and categories.
suggested: If suggest is TRUE, a list with suggested additions for each dictionary category. Each entry is a named numeric vector with similarities for each suggested term.

Examples

if (dir.exists("~/Latent Semantic Spaces")) {
  dict <- list(
    furniture = c("table", "chair", "desk*", "couch*", "sofa*"),
    well_adjusted = c("happy", "bright*", "friend*", "she", "he", "they")
  )
  dictionary_meta(dict, space_dir = "~/Latent Semantic Spaces")
}

lingmatch documentation built on May 29, 2024, 11:48 a.m.