Skip to contents

Generate a wordcloud with meeting subject lines

Source: R/tm_wordcloud.R
tm_wordcloud.Rd

Generate a wordcloud with the meeting query. This is a sub-function that feeds into meeting_tm_report().

Usage

tm_wordcloud(
  data,
  stopwords = NULL,
  seed = 100,
  keep = 100,
  return = "plot",
  ...
)

Arguments

data

A Meeting Query dataset in the form of a data frame.

stopwords

A character vector OR a single-column data frame labelled 'word' containing custom stopwords to remove.

seed

A numeric vector to set seed for random generation.

keep

A numeric vector specifying maximum number of words to keep.

return

String specifying what to return. This must be one of the following strings:

  • "plot"

  • "table"

See Value for more information.

...

Additional parameters to be passed to ggwordcloud::geom_text_wordcloud()

Value

A different output is returned depending on the value passed to the return argument:

  • "plot": 'ggplot' object containing a word cloud.

  • "table": data frame returning the data used to generate the word cloud.

Details

Uses the 'ggwordcloud' package for the underlying implementation, thus returning a 'ggplot' object. Additional layers can be added onto the plot using a ggplot + syntax. The recommendation is not to return over 100 words in a word cloud.

This function uses tm_clean() as the underlying data wrangling function. There is an option to remove stopwords by passing a data frame into the stopwords argument.

See also

Other Text-mining: meeting_tm_report(), pairwise_count(), tm_clean(), tm_cooc(), tm_freq()

Examples

tm_wordcloud(mt_data, keep = 30)


# Removing stopwords
tm_wordcloud(mt_data, keep = 30, stopwords = c("weekly", "update"))