textstat_proxy: [Experimental] Compute document/feature proximity

In quanteda.textstats: Textual Statistics for the Quantitative Analysis of Textual Data

[Experimental] Compute document/feature proximity

Description

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

Usage

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

Arguments

y	if a dfm object is provided, proximity between documents or features in x and y is computed.
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	character; the method identifying 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.
use_na	if TRUE, return NA for proximity to empty vectors. Note that use of NA makes the proximity matrices denser.

See Also

textstat_dist(), textstat_simil()

quanteda.textstats documentation built on Nov. 2, 2023, 5:07 p.m.