Cluster phrases based on similarity of appearance.

Description

Cluster phrases based on similarity of their appearance in the positive documents. Can also plot this if so desired.

Uses hclust() with the “ward.D” method on 1-S with S from make.similarity.matrix

Warning: for 'negative weight' phrases this method does not do well since it ignores negative documents.

Usage

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cluster.phrases(result, num.groups = 5, plot = TRUE, yaxt = "n",
  ylab = "", sub = "", main = "Association of Phrases", ...)

Arguments

result

A similarity matrix from make.similarity.matrix call or an textreg.result object

num.groups

Number of groups to box.

plot

Actually plot clustering or just calculate it.

yaxt

Whether to include a y-axis

ylab

Label for y-axis

sub

Subtitle for plot

main

Title of plot.

...

Extra arguments to pass to the plot command. See par.

See Also

Other Phrase Vizualization: make.appearance.matrix; make.phrase.correlation.chart; make.similarity.matrix

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