Skip to contents

Analyse word co-occurrence in subject lines and return a network plot

Source: R/tm_cooc.R
tm_cooc.Rd

This function generates a word co-occurrence network plot, with options to return a table. This function is used within meeting_tm_report().

Usage

tm_cooc(data, stopwords = NULL, seed = 100, return = "plot", lmult = 0.05)

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.

return

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

  • "plot"

  • "table"

See Value for more information.

lmult

A multiplier to adjust the line width in the output plot. Defaults to 0.05.

Value

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

  • "plot": 'ggplot' and 'ggraph' object. A network plot.

  • "table": data frame. A summary table.

Details

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.

Example

The function can be run with subject lines from mt_data, as per below.

mt_data %>%
  tm_cooc(lmult = 0.01)

See also

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

Author

Carlos Morales carlos.morales@microsoft.com

Examples

# Demo using a subset of `mt_data`