meeting_tm_report: Generate a Meeting Text Mining report in HTML

In wpa: Tools for Analysing and Visualising Viva Insights Data

Generate a Meeting Text Mining report in HTML

Description

Create a text mining report in HTML based on Meeting Subject Lines

Usage

meeting_tm_report(
  data,
  path = "meeting text mining report",
  stopwords = NULL,
  timestamp = TRUE,
  keep = 100,
  seed = 100
)

Arguments

data	A Meeting Query dataset in the form of a data frame.
path	Pass the file path and the desired file name, excluding the file extension. For example, "meeting text mining report".
stopwords	A character vector OR a single-column data frame labelled 'word' containing custom stopwords to remove.
timestamp	Logical vector specifying whether to include a timestamp in the file name. Defaults to TRUE.
keep	A numeric vector specifying maximum number of words to keep.
seed	A numeric vector to set seed for random generation.

Value

An HTML report with the same file name as specified in the arguments is generated in the working directory. No outputs are directly returned by the function.

See Also

Other Reports: IV_report(), capacity_report(), coaching_report(), collaboration_report(), connectivity_report(), generate_report(), read_preamble(), subject_validate_report(), validation_report(), workpatterns_report()

Other Meetings: meeting_dist(), meeting_extract(), meeting_fizz(), meeting_line(), meeting_quality(), meeting_rank(), meeting_skim(), meeting_summary(), meeting_trend(), meetingtype_dist(), meetingtype_dist_ca(), meetingtype_dist_mt(), meetingtype_summary()

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

wpa documentation built on June 22, 2024, 9:59 a.m.