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.
meeting_tm_report(mt_data)
This will generate a HTML report as specified in path
.
Note that the column Subject
must be available within the input data frame
in order to run.d
Other Reports:
IV_report()
,
generate_report()
,
read_preamble()
,
validation_report()
Other Meetings:
meeting_dist()
,
meeting_fizz()
,
meeting_line()
,
meeting_rank()
,
meeting_summary()
,
meeting_trend()
Other Text-mining:
pairwise_count()
,
tm_clean()
,
tm_cooc()
,
tm_freq()
,
tm_wordcloud()