quanteda (version 1.3.14)

textstat_proxy: [Experimental] Compute document/feature proximity

Description

This is an underlying function for textstat_dist and textstat_simil but returns TsparseMatrix.

Usage

textstat_proxy(x, selection = NULL, margin = c("documents",
  "features"), method = c("cosine", "correlation", "jaccard", "ejaccard",
  "dice", "edice", "hamman", "simple matching", "faith", "euclidean",
  "chisquared", "hamming", "kullback", "manhattan", "maximum", "canberra",
  "minkowski"), p = 2, min_proxy = NULL, rank = NULL)

Arguments

x

a dfm object

selection

a valid index for document or feature names (depending on margin) from x, to be selected for comparison

margin

identifies the margin of the dfm on which similarity or difference will be computed: "documents" for documents or "features" for word/term features.

method

method the similarity or distance measure to be used; see Details.

p

The power of the Minkowski distance.

min_proxy

the minimum proximity value to be recoded.

rank

an integer value specifying top-n most proximity values to be recorded.

See Also

textstat_dist, textstat_simil