Generate a wordcloud with the meeting query.
This is a sub-function that feeds into meeting_tm_report()
.
tm_wordcloud(
data,
stopwords = NULL,
seed = 100,
keep = 100,
return = "plot",
...
)
A Meeting Query dataset in the form of a data frame.
A character vector OR a single-column data frame labelled
'word'
containing custom stopwords to remove.
A numeric vector to set seed for random generation.
A numeric vector specifying maximum number of words to keep.
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()
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.
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.
Other Text-mining:
meeting_tm_report()
,
pairwise_count()
,
subject_validate_report()
,
subject_validate()
,
tm_clean()
,
tm_cooc()
,
tm_freq()
tm_wordcloud(mt_data, keep = 30)
#> Some words could not fit on page. They have been removed.
# Removing stopwords
tm_wordcloud(mt_data, keep = 30, stopwords = c("weekly", "update"))
#> Some words could not fit on page. They have been removed.