Perform a Word or Ngram Frequency Analysis and return a Circular Bar Plot

Generate a circular bar plot with frequency of words / ngrams. This function is used within meeting_tm_report().

tm_freq(data, token = "words", stopwords = NULL, keep = 100, return = "plot")

Arguments

data

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

token

A character vector accepting either "words" or "ngram", determining type of tokenisation to return.

stopwords

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

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.

Value

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

• "plot": 'ggplot' object. A circular bar 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.

See also

Other Text-mining: meeting_tm_report(), pairwise_count(), subject_validate(), subject_validate_report(), tm_clean(), tm_cooc(), tm_wordcloud()

Examples

# \donttest{
tm_freq(mt_data, token = "words")
#> Selecting by n
#> Warning: ggrepel: 3 unlabeled data points (too many overlaps). Consider increasing max.overlaps

tm_freq(mt_data, token = "ngrams")
#> Selecting by n
#> Warning: ggrepel: 52 unlabeled data points (too many overlaps). Consider increasing max.overlaps

# }