dtm_wordcloud: Plot a word cloud from a dtm

In kasperwelbers/tcorpus: Managing, Querying and Analyzing Tokenized Text

Plot a word cloud from a dtm

Description

Compute the term frequencies for the dtm and plot a word cloud with the top n topics You can either supply a document-term matrix or provide terms and freqs directly (in which case this is an alias for wordcloud::wordcloud with sensible defaults)

Usage

dtm_wordcloud(
  dtm = NULL,
  nterms = 100,
  freq.fun = NULL,
  terms = NULL,
  freqs = NULL,
  scale = c(4, 0.5),
  min.freq = 1,
  rot.per = 0.15,
  ...
)

Arguments

dtm	the document-term matrix
nterms	the amount of words to plot (default 100)
freq.fun	if given, will be applied to the frequenies (e.g. sqrt)
terms	the terms to plot, ignored if dtm is given
freqs	the frequencies to plot, ignored if dtm is given
scale	the scale to plot (see wordcloud::wordcloud)
min.freq	the minimum frquency to include (see wordcloud::wordcloud)
rot.per	the percentage of vertical words (see wordcloud::wordcloud)
...	other arguments passed to wordcloud::wordcloud

Examples

## create DTM
tc = create_tcorpus(sotu_texts[1:100,], doc_column = 'id')
tc$preprocess('token', 'feature', remove_stopwords = TRUE)
dtm = get_dtm(tc, 'feature')


dtm_wordcloud(dtm, nterms = 20)

## or without a DTM
dtm_wordcloud(terms = c('in','the','cloud'), freqs = c(2,5,10))

kasperwelbers/tcorpus documentation built on May 10, 2023, 5:10 p.m.