Create a text mining report in HTML based on Meeting Subject Lines
meeting_tm_report(
data,
path = "meeting text mining report",
stopwords = NULL,
timestamp = TRUE,
keep = 100,
seed = 100
)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.
A Meeting Query dataset in the form of a data frame.
Pass the file path and the desired file name, excluding the file
extension. For example, "meeting text mining report".
A character vector OR a single-column data frame labelled
'word' containing custom stopwords to remove.
Logical vector specifying whether to include a timestamp in the file name. Defaults to TRUE.
A numeric vector specifying maximum number of words to keep.
A numeric vector to set seed for random generation.
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()